Medien Wiki - User contributions [en]

GMU:Bots 'n' Plots/Christopher Marx

2015-10-18T18:08:59Z

Christopher Marx:

'''Idiomaggio - a language detection bot'''

[[File:header.png]]

''"The limits of my language are the limits of my world." (Ludwig Wittgenstein)''

Idiomaggio is a twitter bot that detects the language of tweets and responds automatically in the right tongue. In a multilingual world there can be many different languages surround you. With the help of Idiomaggio you can figure out which language is spoken.

The twitter bot is working with the NLTK library; mainly with the built-in function ''stop words''. Linking words, conjunctions, articles and pronouns are words that make a language speakable. However, they don't create the meaning of a text. Idiomaggio filters the stop words out and detects their language. In a second step, the tweet will be responded in the correct language.

Idiamaggio understands the European languages Swedish, Danish, Hungarian, Finnish, Portugese, German, Dutch, French, Spanish, Norwegian, English, Russian, Turkish and Italian. It responds with a single phrase. A further possibility to create more sophisticated responds is the usage of the AIML library. AIML is a markup language which creates phrases and meaning. However, AIML is not available in all of the 14 languages which the NLTK library uses. Therefore I decided to create a Twitter Bot, which doesn't pretend to be human, but responds correctly.

'''[https://twitter.com/idiomaggio Find Idiomaggio on Twitter]'''

[[File:English.png]]

[[File:Spanish.png]]

[[File:French.png]]

[[File:Italian.png]]

'''The Code'''

<source lang="python">

#!/usr/bin/env python2
# -*- coding: utf-8 -*- #

from twitterbot import TwitterBot
import keys

import nltk
from nltk import wordpunct_tokenize
from nltk.corpus import stopwords

class Idiomaggio(TwitterBot):
def bot_init(self):

"""
Use your own consumer key to make the bot alive.
"""

############################
# REQUIRED: LOGIN DETAILS! #
############################

self.config['api_key'] = keys.consumer_key
self.config['api_secret'] = keys.consumer_secret
self.config['access_key'] = keys.access_token
self.config['access_secret'] = keys.access_token_secret

######################################
# SEMI-OPTIONAL: OTHER CONFIG STUFF! #
######################################

# how often to tweet, in seconds
self.config['tweet_interval'] = 1 * 10 # default: 30 minutes

# use this to define a (min, max) random range of how often to tweet
# e.g., self.config['tweet_interval_range'] = (5*60, 10*60) # tweets every 5-10 minutes
self.config['tweet_interval_range'] = None

# only reply to tweets that specifically mention the bot
self.config['reply_direct_mention_only'] = True

# only include bot followers (and original tweeter) in @-replies
self.config['reply_followers_only'] = True

# fav any tweets that mention this bot?
self.config['autofav_mentions'] = False

# fav any tweets containing these keywords?
self.config['autofav_keywords'] = []

# follow back all followers?
self.config['autofollow'] = False

###########################################
# CUSTOM: your bot's own state variables! #
###########################################

def on_scheduled_tweet(self):

pass

def on_mention(self, tweet, prefix):

text = tweet.text

print(text)

print(type(text))

percentage = {}

tokens = wordpunct_tokenize(text)
words = []

for word in tokens:
words.append(word.lower())

for language in stopwords.fileids():
stopwords_set = set(stopwords.words(language))
words_set = set(words)
most_common = words_set.intersection(stopwords_set)
percentage[language] = len(most_common)

most_probable = max(percentage, key=percentage.get)

if most_probable == "danish":
response = u'Hej! Taler du dansk?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "dutch":
response = u'Hi! Groeten uit Holland.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "english":
response = u'Hey! I speak some English.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "finnish":
response = u'Hei! Terveisiä Suomi.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "french":
response = u'Salut! Parlez-vous français?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "german":
response = u'Hey! Sprichst du deutsch?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "hungarian":
response = u'Hello! Beszélsz magyarul?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "italian":
response = u'Ciao! Saluti da Italia.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "norwegian":
response = u'Hei! Jeg snakker norsk.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "portuguese":
response = u'Olá! Você fala português?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "russian":
response = u'Привет! Привет из России.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "spanish":
response = u'¡Hola! Saludos desde España.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "swedish":
response = u'Hej! Talar du svenska?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "turkish":
response = u'Merhaba! Türkçe biliyor musun?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

# print(percentage)

# print(stopwords_set)
# print(words_set)

print("The language of your text is %s" % most_probable)

def on_timeline(self, tweet, prefix):

pass

if __name__ == '__main__':
bot = Idiomaggio()
bot.run()

</source>

'''Myrobot and Grammar Bot'''

See my first steps with Python and Processing:

[[File:myrobot.png|100px100px|thumb|left]]

The Grammar Bot creates some random sentences. It is a first step towards a "Language Bot".

Grab the code at pastebin: [http://pastebin.com/GvgyfDUU Grammar Bot]

You can find some more interesting bots on [https://github.com/craftoid/twitterbot-examples GitHub] - all created by [https://www.uni-weimar.de/medien/wiki/User:Ms Martin Schneider].

Thanks for visiting my website. My name is Christopher Marx and I am studying Media Studies at Bauhaus University Weimar.

GMU:Bots 'n' Plots/Christopher Marx

2015-10-04T12:48:17Z

Christopher Marx:

'''Idiomaggio - a language detection bot'''

[[File:header.png]]

''"The limits of my language are the limits of my world." (Ludwig Wittgenstein)''

Idiomaggio is a twitter bot that detects the language of tweets and responds automatically in the right tongue. In a multilingual world there can be many different languages surround you. With the help of Idiomaggio you can figure out which language is spoken.

The twitter bot is working with the NLTK library; mainly with the built-in function ''stop words''. Linking words, conjunctions, articles and pronouns are words that make a language speakable. However, they don't create the meaning of a text. Idiomaggio filters the stop words out and detects their language. In a second step, the tweet will be responded in the correct language.

Idiamaggio understands the European languages Swedish, Danish, Hungarian, Finnish, Portugese, German, Dutch, French, Spanish, Norwegian, English, Russian, Turkish and Italian.

'''[https://twitter.com/idiomaggio Find Idiomaggio on Twitter]'''

[[File:English.png]]

[[File:Spanish.png]]

[[File:French.png]]

[[File:Italian.png]]

'''The Code'''

<source lang="python">

#!/usr/bin/env python2
# -*- coding: utf-8 -*- #

from twitterbot import TwitterBot
import keys

import nltk
from nltk import wordpunct_tokenize
from nltk.corpus import stopwords

class Idiomaggio(TwitterBot):
def bot_init(self):

"""
Use your own consumer key to make the bot alive.
"""

############################
# REQUIRED: LOGIN DETAILS! #
############################

self.config['api_key'] = keys.consumer_key
self.config['api_secret'] = keys.consumer_secret
self.config['access_key'] = keys.access_token
self.config['access_secret'] = keys.access_token_secret

######################################
# SEMI-OPTIONAL: OTHER CONFIG STUFF! #
######################################

# how often to tweet, in seconds
self.config['tweet_interval'] = 1 * 10 # default: 30 minutes

# use this to define a (min, max) random range of how often to tweet
# e.g., self.config['tweet_interval_range'] = (5*60, 10*60) # tweets every 5-10 minutes
self.config['tweet_interval_range'] = None

# only reply to tweets that specifically mention the bot
self.config['reply_direct_mention_only'] = True

# only include bot followers (and original tweeter) in @-replies
self.config['reply_followers_only'] = True

# fav any tweets that mention this bot?
self.config['autofav_mentions'] = False

# fav any tweets containing these keywords?
self.config['autofav_keywords'] = []

# follow back all followers?
self.config['autofollow'] = False

###########################################
# CUSTOM: your bot's own state variables! #
###########################################

def on_scheduled_tweet(self):

pass

def on_mention(self, tweet, prefix):

text = tweet.text

print(text)

print(type(text))

percentage = {}

tokens = wordpunct_tokenize(text)
words = []

for word in tokens:
words.append(word.lower())

for language in stopwords.fileids():
stopwords_set = set(stopwords.words(language))
words_set = set(words)
most_common = words_set.intersection(stopwords_set)
percentage[language] = len(most_common)

most_probable = max(percentage, key=percentage.get)

if most_probable == "danish":
response = u'Hej! Taler du dansk?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "dutch":
response = u'Hi! Groeten uit Holland.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "english":
response = u'Hey! I speak some English.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "finnish":
response = u'Hei! Terveisiä Suomi.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "french":
response = u'Salut! Parlez-vous français?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "german":
response = u'Hey! Sprichst du deutsch?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "hungarian":
response = u'Hello! Beszélsz magyarul?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "italian":
response = u'Ciao! Saluti da Italia.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "norwegian":
response = u'Hei! Jeg snakker norsk.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "portuguese":
response = u'Olá! Você fala português?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "russian":
response = u'Привет! Привет из России.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "spanish":
response = u'¡Hola! Saludos desde España.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "swedish":
response = u'Hej! Talar du svenska?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "turkish":
response = u'Merhaba! Türkçe biliyor musun?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

# print(percentage)

# print(stopwords_set)
# print(words_set)

print("The language of your text is %s" % most_probable)

def on_timeline(self, tweet, prefix):

pass

if __name__ == '__main__':
bot = Idiomaggio()
bot.run()

</source>

'''Myrobot and Grammar Bot'''

See my first steps with Python and Processing:

[[File:myrobot.png|100px100px|thumb|left]]

The Grammar Bot creates some random sentences.

Grab the code at pastebin: [http://pastebin.com/GvgyfDUU Grammar Bot]

You can find some more interesting bots on [https://github.com/craftoid/twitterbot-examples GitHub] - all created by [https://www.uni-weimar.de/medien/wiki/User:Ms Martin Schneider].

Thanks for visiting my website. My name is Christopher Marx and I am studying Media Studies at Bauhaus University Weimar.

GMU:Bots 'n' Plots/Christopher Marx

2015-10-03T21:04:50Z

Christopher Marx:

'''Idiomaggio - a language detection bot'''

[[File:header.png]]

''"The limits of my language are the limits of my world." (Ludwig Wittgenstein)''

Idiomaggio is a twitter bot that detects the language of tweets and responds automatically in the right tongue. In a multilingual world there can be many different languages surround you. With the help of Idiomaggio you can figure out which language is spoken

The twitter bot is working with the NLTK library; mainly with the built-in function ''stop words''. Linking words, conjunctions, articles and pronouns are words that make a language speakable. However, they don't create the meaning of a text. Idiomaggio filters the stop words out and detects their language. In a second step, the tweet will be responded in the correct language.

Idiamaggio understands the European languages Swedish, Danish, Hungarian, Finnish, Portugese, German, Dutch, French, Spanish, Norwegian, English, Russian, Turkish and Italian.

'''[https://twitter.com/idiomaggio Find Idiomaggio on Twitter]'''

[[File:English.png]]

[[File:Spanish.png]]

[[File:French.png]]

[[File:Italian.png]]

'''The Code'''

<source lang="python">

#!/usr/bin/env python2
# -*- coding: utf-8 -*- #

from twitterbot import TwitterBot
import keys

import nltk
from nltk import wordpunct_tokenize
from nltk.corpus import stopwords

class Idiomaggio(TwitterBot):
def bot_init(self):

"""
Use your own consumer key to make the bot alive.
"""

############################
# REQUIRED: LOGIN DETAILS! #
############################

self.config['api_key'] = keys.consumer_key
self.config['api_secret'] = keys.consumer_secret
self.config['access_key'] = keys.access_token
self.config['access_secret'] = keys.access_token_secret

######################################
# SEMI-OPTIONAL: OTHER CONFIG STUFF! #
######################################

# how often to tweet, in seconds
self.config['tweet_interval'] = 1 * 10 # default: 30 minutes

# use this to define a (min, max) random range of how often to tweet
# e.g., self.config['tweet_interval_range'] = (5*60, 10*60) # tweets every 5-10 minutes
self.config['tweet_interval_range'] = None

# only reply to tweets that specifically mention the bot
self.config['reply_direct_mention_only'] = True

# only include bot followers (and original tweeter) in @-replies
self.config['reply_followers_only'] = True

# fav any tweets that mention this bot?
self.config['autofav_mentions'] = False

# fav any tweets containing these keywords?
self.config['autofav_keywords'] = []

# follow back all followers?
self.config['autofollow'] = False

###########################################
# CUSTOM: your bot's own state variables! #
###########################################

def on_scheduled_tweet(self):

pass

def on_mention(self, tweet, prefix):

text = tweet.text

print(text)

print(type(text))

percentage = {}

tokens = wordpunct_tokenize(text)
words = []

for word in tokens:
words.append(word.lower())

for language in stopwords.fileids():
stopwords_set = set(stopwords.words(language))
words_set = set(words)
most_common = words_set.intersection(stopwords_set)
percentage[language] = len(most_common)

most_probable = max(percentage, key=percentage.get)

if most_probable == "danish":
response = u'Hej! Taler du dansk?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "dutch":
response = u'Hi! Groeten uit Holland.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "english":
response = u'Hey! I speak some English.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "finnish":
response = u'Hei! Terveisiä Suomi.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "french":
response = u'Salut! Parlez-vous français?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "german":
response = u'Hey! Sprichst du deutsch?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "hungarian":
response = u'Hello! Beszélsz magyarul?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "italian":
response = u'Ciao! Saluti da Italia.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "norwegian":
response = u'Hei! Jeg snakker norsk.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "portuguese":
response = u'Olá! Você fala português?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "russian":
response = u'Привет! Привет из России.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "spanish":
response = u'¡Hola! Saludos desde España.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "swedish":
response = u'Hej! Talar du svenska?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "turkish":
response = u'Merhaba! Türkçe biliyor musun?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

# print(percentage)

# print(stopwords_set)
# print(words_set)

print("The language of your text is %s" % most_probable)

def on_timeline(self, tweet, prefix):

pass

if __name__ == '__main__':
bot = Idiomaggio()
bot.run()

</source>

'''Myrobot and Grammar Bot'''

See my first steps with Python and Processing:

[[File:myrobot.png|100px100px|thumb|left]]

The Grammar Bot creates some random sentences.

Grab the code at pastebin: [http://pastebin.com/GvgyfDUU Grammar Bot]

You can find some more interesting bots on [https://github.com/craftoid/twitterbot-examples GitHub] - all created by [https://www.uni-weimar.de/medien/wiki/User:Ms Martin Schneider].

Thanks for visiting my website. My name is Christopher Marx and I am studying Media Studies at Bauhaus University Weimar.

GMU:Bots 'n' Plots/Christopher Marx

2015-10-03T21:04:40Z

Christopher Marx:

'''Idiomaggio - a language detection bot'''

[[File:header.png]]

''"The limits of my language are the limits of my world." (Ludwig Wittgenstein)''

Idiomaggio is a twitter bot that detects the language of tweets and responds automatically in the right tongue. In a multilingual world there can be many different languages surround you. With the help of Idiomaggio you can figure out which language is spoken

The twitter bot is working with the NLTK library; mainly with the built-in function ''stop words''. Linking words, conjunctions, articles and pronouns are words that make a language speakable. However, they don't create the meaning of a text. Idiomaggio filters the stop words out and detects their language. In a second step, the tweet will be responded in the correct language.

Idiamaggio understands the European languages Swedish, Danish, Hungarian, Finnish, Portugese, German, Dutch, French, Spanish, Norwegian, English, Russian, Turkish and Italian.

'''[https://twitter.com/idiomaggio Find Idiomaggio on Twitter]'''

[[File:English.png]]

[[File:Spanish.png]]

[[File:French.png]]

[[File:Italian.png]]

'''The Code'''

<source lang="python">

#!/usr/bin/env python2
# -*- coding: utf-8 -*- #

from twitterbot import TwitterBot
import keys

import nltk
from nltk import wordpunct_tokenize
from nltk.corpus import stopwords

class Idiomaggio(TwitterBot):
def bot_init(self):

"""
Use your own consumer key to make the bot alive.
"""

############################
# REQUIRED: LOGIN DETAILS! #
############################

self.config['api_key'] = keys.consumer_key
self.config['api_secret'] = keys.consumer_secret
self.config['access_key'] = keys.access_token
self.config['access_secret'] = keys.access_token_secret

######################################
# SEMI-OPTIONAL: OTHER CONFIG STUFF! #
######################################

# how often to tweet, in seconds
self.config['tweet_interval'] = 1 * 10 # default: 30 minutes

# use this to define a (min, max) random range of how often to tweet
# e.g., self.config['tweet_interval_range'] = (5*60, 10*60) # tweets every 5-10 minutes
self.config['tweet_interval_range'] = None

# only reply to tweets that specifically mention the bot
self.config['reply_direct_mention_only'] = True

# only include bot followers (and original tweeter) in @-replies
self.config['reply_followers_only'] = True

# fav any tweets that mention this bot?
self.config['autofav_mentions'] = False

# fav any tweets containing these keywords?
self.config['autofav_keywords'] = []

# follow back all followers?
self.config['autofollow'] = False

###########################################
# CUSTOM: your bot's own state variables! #
###########################################

def on_scheduled_tweet(self):

pass

def on_mention(self, tweet, prefix):

text = tweet.text

print(text)

print(type(text))

percentage = {}

tokens = wordpunct_tokenize(text)
words = []

for word in tokens:
words.append(word.lower())

for language in stopwords.fileids():
stopwords_set = set(stopwords.words(language))
words_set = set(words)
most_common = words_set.intersection(stopwords_set)
percentage[language] = len(most_common)

most_probable = max(percentage, key=percentage.get)

if most_probable == "danish":
response = u'Hej! Taler du dansk?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "dutch":
response = u'Hi! Groeten uit Holland.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "english":
response = u'Hey! I speak some English.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "finnish":
response = u'Hei! Terveisiä Suomi.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "french":
response = u'Salut! Parlez-vous français?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "german":
response = u'Hey! Sprichst du deutsch?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "hungarian":
response = u'Hello! Beszélsz magyarul?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "italian":
response = u'Ciao! Saluti da Italia.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "norwegian":
response = u'Hei! Jeg snakker norsk.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "portuguese":
response = u'Olá! Você fala português?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "russian":
response = u'Привет! Привет из России.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "spanish":
response = u'¡Hola! Saludos desde España.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "swedish":
response = u'Hej! Talar du svenska?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "turkish":
response = u'Merhaba! Türkçe biliyor musun?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

# print(percentage)

# print(stopwords_set)
# print(words_set)

print("The language of your text is %s" % most_probable)

def on_timeline(self, tweet, prefix):

pass

if __name__ == '__main__':
bot = Idiomaggio()
bot.run()

</source>

'''Myrobot and Grammar Bot'''

See my first steps with Python and Processing:

[[File:myrobot.png|100px100px|thumb|left]]

The Grammar Bot creates some random sentences.

Grab the code at pastebin: [http://pastebin.com/GvgyfDUU Grammar Bot]

You can find some more interesting bots on [https://github.com/craftoid/twitterbot-examples GitHub] - all created by [https://www.uni-weimar.de/medien/wiki/User:Ms Martin Schneider].

Thanks for visiting my website. My name is Christopher Marx and I am studying Media Studies at Bauhaus University Weimar.

GMU:Bots 'n' Plots/Christopher Marx

2015-10-03T21:04:14Z

Christopher Marx:

'''Idiomaggio - a language detection bot'''

[[File:header.png]]

''"The limits of my language are the limits of my world." (Ludwig Wittgenstein)''

Idiomaggio is a twitter bot that detects the language of tweets and responds automatically in the right tongue. In a multilingual world there can be many different languages surround you. With the help of Idiomaggio you can figure out which language is spoken

The twitter bot is working with the NLTK library; mainly with the built-in function ''stop words''. Linking words, conjunctions, articles and pronouns are words that make a language speakable. However, they don't create the meaning of a text. Idiomaggio filters the stop words out and detects their language. In a second step, the tweet will be responded in the correct language.

Idiamaggio understands the European languages Swedish, Danish, Hungarian, Finnish, Portugese, German, Dutch, French, Spanish, Norwegian, English, Russian, Turkish and Italian.

'''[https://twitter.com/idiomaggio Find Idiomaggio on Twitter]'''

[[File:English.png]]

[[File:Spanish.png]]

[[File:French.png]]

[[File:Italian.png]]

'''The Code'''

<source lang="python">

#!/usr/bin/env python2
# -*- coding: utf-8 -*- #

from twitterbot import TwitterBot
import keys

import nltk
from nltk import wordpunct_tokenize
from nltk.corpus import stopwords

class Idiomaggio(TwitterBot):
def bot_init(self):

"""
Use your own consumer key to make the bot alive.
"""

############################
# REQUIRED: LOGIN DETAILS! #
############################

self.config['api_key'] = keys.consumer_key
self.config['api_secret'] = keys.consumer_secret
self.config['access_key'] = keys.access_token
self.config['access_secret'] = keys.access_token_secret

######################################
# SEMI-OPTIONAL: OTHER CONFIG STUFF! #
######################################

# how often to tweet, in seconds
self.config['tweet_interval'] = 1 * 10 # default: 30 minutes

# use this to define a (min, max) random range of how often to tweet
# e.g., self.config['tweet_interval_range'] = (5*60, 10*60) # tweets every 5-10 minutes
self.config['tweet_interval_range'] = None

# only reply to tweets that specifically mention the bot
self.config['reply_direct_mention_only'] = True

# only include bot followers (and original tweeter) in @-replies
self.config['reply_followers_only'] = True

# fav any tweets that mention this bot?
self.config['autofav_mentions'] = False

# fav any tweets containing these keywords?
self.config['autofav_keywords'] = []

# follow back all followers?
self.config['autofollow'] = False

###########################################
# CUSTOM: your bot's own state variables! #
###########################################

def on_scheduled_tweet(self):

pass

def on_mention(self, tweet, prefix):

text = tweet.text

print(text)

print(type(text))

percentage = {}

tokens = wordpunct_tokenize(text)
words = []

for word in tokens:
words.append(word.lower())

for language in stopwords.fileids():
stopwords_set = set(stopwords.words(language))
words_set = set(words)
most_common = words_set.intersection(stopwords_set)
percentage[language] = len(most_common)

most_probable = max(percentage, key=percentage.get)

if most_probable == "danish":
response = u'Hej! Taler du dansk?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "dutch":
response = u'Hi! Groeten uit Holland.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "english":
response = u'Hey! I speak some English.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "finnish":
response = u'Hei! Terveisiä Suomi.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "french":
response = u'Salut! Parlez-vous français?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "german":
response = u'Hey! Sprichst du deutsch?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "hungarian":
response = u'Hello! Beszélsz magyarul?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "italian":
response = u'Ciao! Saluti da Italia.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "norwegian":
response = u'Hei! Jeg snakker norsk.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "portuguese":
response = u'Olá! Você fala português?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "russian":
response = u'Привет! Привет из России.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "spanish":
response = u'¡Hola! Saludos desde España.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "swedish":
response = u'Hej! Talar du svenska?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "turkish":
response = u'Merhaba! Türkçe biliyor musun?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

# print(percentage)

# print(stopwords_set)
# print(words_set)

print("The language of your text is %s" % most_probable)

def on_timeline(self, tweet, prefix):

pass

if __name__ == '__main__':
bot = Idiomaggio()
bot.run()

</source>

'''Myrobot and Grammar Bot'''

See my first steps with Python and Processing:

[[File:myrobot.png|100px100px|thumb|left]]

The Grammar Bot creates some random sentences.

Grab the code at pastebin: [http://pastebin.com/GvgyfDUU Grammar Bot]

You can find some more interesting bots on [https://github.com/craftoid/twitterbot-examples GitHub] - all created by [https://www.uni-weimar.de/medien/wiki/User:Ms Martin Schneider].

Thanks for visiting my website. My name is Christopher Marx and I am studying Media Studies at Bauhaus University Weimar.

GMU:Bots 'n' Plots/Christopher Marx

2015-10-03T21:03:26Z

Christopher Marx:

'''Idiomaggio - a language detection bot'''

[[File:header.png]]

''"The limits of my language are the limits of my world." (Ludwig Wittgenstein)''

Idiomaggio is a twitter bot that detects the language of tweets and responds automatically in the right tongue. In a multilingual world there can be many different languages surround you. With the help of Idiomaggio you can figure out which language is spoken

The twitter bot is working with the NLTK library; mainly with the built-in function ''stop words''. Linking words, conjunctions, articles and pronouns are words that make a language speakable. However, they don't create the meaning of a text. Idiomaggio filters the stop words out and detects their language. In a second step, the tweet will be responded in the correct language.

'''[https://twitter.com/idiomaggio Find Idiomaggio on Twitter]'''

Idiamaggio understands the European languages Swedish, Danish, Hungarian, Finnish, Portugese, German, Dutch, French, Spanish, Norwegian, English, Russian, Turkish and Italian.

[[File:English.png]]

[[File:Spanish.png]]

[[File:French.png]]

[[File:Italian.png]]

'''The Code'''

<source lang="python">

#!/usr/bin/env python2
# -*- coding: utf-8 -*- #

from twitterbot import TwitterBot
import keys

import nltk
from nltk import wordpunct_tokenize
from nltk.corpus import stopwords

class Idiomaggio(TwitterBot):
def bot_init(self):

"""
Use your own consumer key to make the bot alive.
"""

############################
# REQUIRED: LOGIN DETAILS! #
############################

self.config['api_key'] = keys.consumer_key
self.config['api_secret'] = keys.consumer_secret
self.config['access_key'] = keys.access_token
self.config['access_secret'] = keys.access_token_secret

######################################
# SEMI-OPTIONAL: OTHER CONFIG STUFF! #
######################################

# how often to tweet, in seconds
self.config['tweet_interval'] = 1 * 10 # default: 30 minutes

# use this to define a (min, max) random range of how often to tweet
# e.g., self.config['tweet_interval_range'] = (5*60, 10*60) # tweets every 5-10 minutes
self.config['tweet_interval_range'] = None

# only reply to tweets that specifically mention the bot
self.config['reply_direct_mention_only'] = True

# only include bot followers (and original tweeter) in @-replies
self.config['reply_followers_only'] = True

# fav any tweets that mention this bot?
self.config['autofav_mentions'] = False

# fav any tweets containing these keywords?
self.config['autofav_keywords'] = []

# follow back all followers?
self.config['autofollow'] = False

###########################################
# CUSTOM: your bot's own state variables! #
###########################################

def on_scheduled_tweet(self):

pass

def on_mention(self, tweet, prefix):

text = tweet.text

print(text)

print(type(text))

percentage = {}

tokens = wordpunct_tokenize(text)
words = []

for word in tokens:
words.append(word.lower())

for language in stopwords.fileids():
stopwords_set = set(stopwords.words(language))
words_set = set(words)
most_common = words_set.intersection(stopwords_set)
percentage[language] = len(most_common)

most_probable = max(percentage, key=percentage.get)

if most_probable == "danish":
response = u'Hej! Taler du dansk?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "dutch":
response = u'Hi! Groeten uit Holland.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "english":
response = u'Hey! I speak some English.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "finnish":
response = u'Hei! Terveisiä Suomi.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "french":
response = u'Salut! Parlez-vous français?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "german":
response = u'Hey! Sprichst du deutsch?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "hungarian":
response = u'Hello! Beszélsz magyarul?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "italian":
response = u'Ciao! Saluti da Italia.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "norwegian":
response = u'Hei! Jeg snakker norsk.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "portuguese":
response = u'Olá! Você fala português?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "russian":
response = u'Привет! Привет из России.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "spanish":
response = u'¡Hola! Saludos desde España.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "swedish":
response = u'Hej! Talar du svenska?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "turkish":
response = u'Merhaba! Türkçe biliyor musun?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

# print(percentage)

# print(stopwords_set)
# print(words_set)

print("The language of your text is %s" % most_probable)

def on_timeline(self, tweet, prefix):

pass

if __name__ == '__main__':
bot = Idiomaggio()
bot.run()

</source>

'''Myrobot and Grammar Bot'''

See my first steps with Python and Processing:

[[File:myrobot.png|100px100px|thumb|left]]

The Grammar Bot creates some random sentences.

Grab the code at pastebin: [http://pastebin.com/GvgyfDUU]

You can find some more interesting bots on [https://github.com/craftoid/twitterbot-examples GitHub] - all created by [https://www.uni-weimar.de/medien/wiki/User:Ms Martin Schneider].

Thanks for visiting my website. My name is Christopher Marx and I am studying Media Studies at Bauhaus University Weimar.

GMU:Bots 'n' Plots/Christopher Marx

2015-10-03T21:02:39Z

Christopher Marx:

'''Idiomaggio - a language detection bot'''

[[File:header.png]]

''"The limits of my language are the limits of my world." (Ludwig Wittgenstein)''

Idiomaggio is a twitter bot that detects the language of tweets and responds automatically in the right tongue. In a multilingual world there can be many different languages surround you. With the help of Idiomaggio you can figure out which language is spoken

The twitter bot is working with the NLTK library; mainly with the built-in function ''stop words''. Linking words, conjunctions, articles and pronouns are words that make a language speakable. However, they don't create the meaning of a text. Idiomaggio filters the stop words out and detects their language. In a second step, the tweet will be responded in the correct language.

'''[https://twitter.com/idiomaggio Find Idiomaggio on Twitter]'''

Idiamaggio understands the European languages Swedish, Danish, Hungarian, Finnish, Portugese, German, Dutch, French, Spanish, Norwegian, English, Russian, Turkish and Italian.

[[File:English.png]]

[[File:Spanish.png]]

[[File:French.png]]

[[File:Italian.png]]

'''The Code'''

<source lang="python">

#!/usr/bin/env python2
# -*- coding: utf-8 -*- #

from twitterbot import TwitterBot
import keys

import nltk
from nltk import wordpunct_tokenize
from nltk.corpus import stopwords

class Idiomaggio(TwitterBot):
def bot_init(self):

"""
Use your own consumer key to make the bot alive.
"""

############################
# REQUIRED: LOGIN DETAILS! #
############################

self.config['api_key'] = keys.consumer_key
self.config['api_secret'] = keys.consumer_secret
self.config['access_key'] = keys.access_token
self.config['access_secret'] = keys.access_token_secret

######################################
# SEMI-OPTIONAL: OTHER CONFIG STUFF! #
######################################

# how often to tweet, in seconds
self.config['tweet_interval'] = 1 * 10 # default: 30 minutes

# use this to define a (min, max) random range of how often to tweet
# e.g., self.config['tweet_interval_range'] = (5*60, 10*60) # tweets every 5-10 minutes
self.config['tweet_interval_range'] = None

# only reply to tweets that specifically mention the bot
self.config['reply_direct_mention_only'] = True

# only include bot followers (and original tweeter) in @-replies
self.config['reply_followers_only'] = True

# fav any tweets that mention this bot?
self.config['autofav_mentions'] = False

# fav any tweets containing these keywords?
self.config['autofav_keywords'] = []

# follow back all followers?
self.config['autofollow'] = False

###########################################
# CUSTOM: your bot's own state variables! #
###########################################

def on_scheduled_tweet(self):

pass

def on_mention(self, tweet, prefix):

text = tweet.text

print(text)

print(type(text))

percentage = {}

tokens = wordpunct_tokenize(text)
words = []

for word in tokens:
words.append(word.lower())

for language in stopwords.fileids():
stopwords_set = set(stopwords.words(language))
words_set = set(words)
most_common = words_set.intersection(stopwords_set)
percentage[language] = len(most_common)

most_probable = max(percentage, key=percentage.get)

if most_probable == "danish":
response = u'Hej! Taler du dansk?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "dutch":
response = u'Hi! Groeten uit Holland.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "english":
response = u'Hey! I speak some English.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "finnish":
response = u'Hei! Terveisiä Suomi.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "french":
response = u'Salut! Parlez-vous français?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "german":
response = u'Hey! Sprichst du deutsch?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "hungarian":
response = u'Hello! Beszélsz magyarul?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "italian":
response = u'Ciao! Saluti da Italia.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "norwegian":
response = u'Hei! Jeg snakker norsk.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "portuguese":
response = u'Olá! Você fala português?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "russian":
response = u'Привет! Привет из России.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "spanish":
response = u'¡Hola! Saludos desde España.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "swedish":
response = u'Hej! Talar du svenska?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "turkish":
response = u'Merhaba! Türkçe biliyor musun?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

# print(percentage)

# print(stopwords_set)
# print(words_set)

print("The language of your text is %s" % most_probable)

def on_timeline(self, tweet, prefix):

pass

if __name__ == '__main__':
bot = Idiomaggio()
bot.run()

</source>

'''Myrobot and Grammar Bot'''

See my first steps with Python and Processing:

[[File:myrobot.png|100px100px|thumb|left]]

The Grammar Bot creates some random sentences.

Grab the code at pastebin: http://pastebin.com/GvgyfDUU

You can find some more interesting bots on [[https://github.com/craftoid/twitterbot-examples GitHub]] - all created by [[https://www.uni-weimar.de/medien/wiki/User:Ms Martin Schneider]].

Thanks for visiting my website. My name is Christopher Marx and I am studying Media Studies at Bauhaus University Weimar.

GMU:Bots 'n' Plots/Christopher Marx

2015-10-03T21:01:55Z

Christopher Marx:

'''Idiomaggio - a language detection bot'''

[[File:header.png]]

''"The limits of my language are the limits of my world." (Ludwig Wittgenstein)''

Idiomaggio is a twitter bot that detects the language of tweets and responds automatically in the right tongue. In a multilingual world there can be many different languages surround you. With the help of Idiomaggio you can figure out which language is spoken

The twitter bot is working with the NLTK library; mainly with the built-in function ''stop words''. Linking words, conjunctions, articles and pronouns are words that make a language speakable. However, they don't create the meaning of a text. Idiomaggio filters the stop words out and detects their language. In a second step, the tweet will be responded in the correct language.

'''[https://twitter.com/idiomaggio Find Idiomaggio on Twitter]'''

Idiamaggio understands the European languages Swedish, Danish, Hungarian, Finnish, Portugese, German, Dutch, French, Spanish, Norwegian, English, Russian, Turkish and Italian.

[[File:English.png]]

[[File:Spanish.png]]

[[File:French.png]]

[[File:Italian.png]]

'''The Code'''

<source lang="python">

#!/usr/bin/env python2
# -*- coding: utf-8 -*- #

from twitterbot import TwitterBot
import keys

import nltk
from nltk import wordpunct_tokenize
from nltk.corpus import stopwords

class Idiomaggio(TwitterBot):
def bot_init(self):

"""
Use your own consumer key to make the bot alive.
"""

############################
# REQUIRED: LOGIN DETAILS! #
############################

self.config['api_key'] = keys.consumer_key
self.config['api_secret'] = keys.consumer_secret
self.config['access_key'] = keys.access_token
self.config['access_secret'] = keys.access_token_secret

######################################
# SEMI-OPTIONAL: OTHER CONFIG STUFF! #
######################################

# how often to tweet, in seconds
self.config['tweet_interval'] = 1 * 10 # default: 30 minutes

# use this to define a (min, max) random range of how often to tweet
# e.g., self.config['tweet_interval_range'] = (5*60, 10*60) # tweets every 5-10 minutes
self.config['tweet_interval_range'] = None

# only reply to tweets that specifically mention the bot
self.config['reply_direct_mention_only'] = True

# only include bot followers (and original tweeter) in @-replies
self.config['reply_followers_only'] = True

# fav any tweets that mention this bot?
self.config['autofav_mentions'] = False

# fav any tweets containing these keywords?
self.config['autofav_keywords'] = []

# follow back all followers?
self.config['autofollow'] = False

###########################################
# CUSTOM: your bot's own state variables! #
###########################################

def on_scheduled_tweet(self):

pass

def on_mention(self, tweet, prefix):

text = tweet.text

print(text)

print(type(text))

percentage = {}

tokens = wordpunct_tokenize(text)
words = []

for word in tokens:
words.append(word.lower())

for language in stopwords.fileids():
stopwords_set = set(stopwords.words(language))
words_set = set(words)
most_common = words_set.intersection(stopwords_set)
percentage[language] = len(most_common)

most_probable = max(percentage, key=percentage.get)

if most_probable == "danish":
response = u'Hej! Taler du dansk?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "dutch":
response = u'Hi! Groeten uit Holland.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "english":
response = u'Hey! I speak some English.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "finnish":
response = u'Hei! Terveisiä Suomi.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "french":
response = u'Salut! Parlez-vous français?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "german":
response = u'Hey! Sprichst du deutsch?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "hungarian":
response = u'Hello! Beszélsz magyarul?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "italian":
response = u'Ciao! Saluti da Italia.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "norwegian":
response = u'Hei! Jeg snakker norsk.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "portuguese":
response = u'Olá! Você fala português?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "russian":
response = u'Привет! Привет из России.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "spanish":
response = u'¡Hola! Saludos desde España.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "swedish":
response = u'Hej! Talar du svenska?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "turkish":
response = u'Merhaba! Türkçe biliyor musun?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

# print(percentage)

# print(stopwords_set)
# print(words_set)

print("The language of your text is %s" % most_probable)

def on_timeline(self, tweet, prefix):

pass

if __name__ == '__main__':
bot = Idiomaggio()
bot.run()

</source>

'''Myrobot and Grammar Bot'''

See my first steps with Python and Processing:

[[File:myrobot.png|100px100px|thumb|left]]

The Grammar Bot creates out of lists some random sentences.

Grab the code at pastebin: http://pastebin.com/GvgyfDUU

You can find some more interesting bots on [[https://github.com/craftoid/twitterbot-examples GitHub]] - all created by [[https://www.uni-weimar.de/medien/wiki/User:Ms Martin Schneider]].

Thanks for visiting my website. My name is Christopher Marx and I am studying Media Studies at Bauhaus University Weimar.

File:Italian.png

2015-10-03T20:54:44Z

Christopher Marx:

== Summary ==

== Copyright status: ==

== Source: ==

File:French.png

2015-10-03T20:53:51Z

Christopher Marx:

== Summary ==

== Copyright status: ==

== Source: ==

File:Spanish.png

2015-10-03T20:53:12Z

Christopher Marx:

== Summary ==

== Copyright status: ==

== Source: ==

File:English.png

2015-10-03T20:52:30Z

Christopher Marx:

== Summary ==

== Copyright status: ==

== Source: ==

File:Header.png

2015-10-03T20:50:49Z

Christopher Marx: uploaded a new version of "File:Header.png"

== Summary ==

== Copyright status: ==

== Source: ==

File:Header.png

2015-10-03T20:47:07Z

Christopher Marx:

== Summary ==

== Copyright status: ==

== Source: ==

GMU:Bots 'n' Plots/Christopher Marx

2015-10-03T20:44:49Z

Christopher Marx:

'''Idiomaggio - a language detection bot'''

[[File:header.png]]

''"The limits of my language are the limits of my world." (Ludwig Wittgenstein)''

Idiomaggio is a twitter bot that detects the language of tweets and responds automatically in the right tongue. In a multilingual world there can be many different languages surround you. With the help of Idiomaggio you can figure out which language is spoken

The twitter bot is working with the NLTK library; mainly with the built-in function ''stop words''. Linking words, conjunctions, articles and pronouns are words that make a language speakable. However, they don't create the meaning of a text. Idiomaggio filters the stop words out and detects their language. In a second step, the tweet will be responded in the correct language.

'''[https://twitter.com/idiomaggio Find Idiomaggio on Twitter]'''

Idiamaggio understands the European languages Swedish, Danish, Hungarian, Finnish, Portugese, German, Dutch, French, Spanish, Norwegian, English, Russian, Turkish and Italian.

[[File:English.png]]

[[File:Spanish.png]]

[[File:French.png]]

[[File:Italian.png]]

'''The Code'''

<source lang="python">

#!/usr/bin/env python2
# -*- coding: utf-8 -*- #

from twitterbot import TwitterBot
import keys

import nltk
from nltk import wordpunct_tokenize
from nltk.corpus import stopwords

class Idiomaggio(TwitterBot):
def bot_init(self):

"""
Use your own consumer key to make the bot alive.
"""

############################
# REQUIRED: LOGIN DETAILS! #
############################

self.config['api_key'] = keys.consumer_key
self.config['api_secret'] = keys.consumer_secret
self.config['access_key'] = keys.access_token
self.config['access_secret'] = keys.access_token_secret

######################################
# SEMI-OPTIONAL: OTHER CONFIG STUFF! #
######################################

# how often to tweet, in seconds
self.config['tweet_interval'] = 1 * 10 # default: 30 minutes

# use this to define a (min, max) random range of how often to tweet
# e.g., self.config['tweet_interval_range'] = (5*60, 10*60) # tweets every 5-10 minutes
self.config['tweet_interval_range'] = None

# only reply to tweets that specifically mention the bot
self.config['reply_direct_mention_only'] = True

# only include bot followers (and original tweeter) in @-replies
self.config['reply_followers_only'] = True

# fav any tweets that mention this bot?
self.config['autofav_mentions'] = False

# fav any tweets containing these keywords?
self.config['autofav_keywords'] = []

# follow back all followers?
self.config['autofollow'] = False

###########################################
# CUSTOM: your bot's own state variables! #
###########################################

def on_scheduled_tweet(self):

pass

def on_mention(self, tweet, prefix):

text = tweet.text

print(text)

print(type(text))

percentage = {}

tokens = wordpunct_tokenize(text)
words = []

for word in tokens:
words.append(word.lower())

for language in stopwords.fileids():
stopwords_set = set(stopwords.words(language))
words_set = set(words)
most_common = words_set.intersection(stopwords_set)
percentage[language] = len(most_common)

most_probable = max(percentage, key=percentage.get)

if most_probable == "danish":
response = u'Hej! Taler du dansk?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "dutch":
response = u'Hi! Groeten uit Holland.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "english":
response = u'Hey! I speak some English.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "finnish":
response = u'Hei! Terveisiä Suomi.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "french":
response = u'Salut! Parlez-vous français?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "german":
response = u'Hey! Sprichst du deutsch?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "hungarian":
response = u'Hello! Beszélsz magyarul?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "italian":
response = u'Ciao! Saluti da Italia.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "norwegian":
response = u'Hei! Jeg snakker norsk.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "portuguese":
response = u'Olá! Você fala português?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "russian":
response = u'Привет! Привет из России.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "spanish":
response = u'¡Hola! Saludos desde España.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "swedish":
response = u'Hej! Talar du svenska?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "turkish":
response = u'Merhaba! Türkçe biliyor musun?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

# print(percentage)

# print(stopwords_set)
# print(words_set)

print("The language of your text is %s" % most_probable)

def on_timeline(self, tweet, prefix):

pass

if __name__ == '__main__':
bot = Idiomaggio()
bot.run()

</source>

[[File:myrobot.png|100px100px|thumb|left]]

unfortunately I got stuck with the cmudict.dict - function of NLTK, while using this idea: http://h6o6.com/2013/03/using-python-and-the-nltk-to-find-haikus-in-the-public-twitter-stream/

so the result is not that complex… :(

grab the code at pastebin: http://pastebin.com/GvgyfDUU

GMU:Bots 'n' Plots/Christopher Marx

2015-10-03T20:41:03Z

Christopher Marx: mayor changes

== Idiomaggio - a language detection bot ==

[[File:header.png]]

"The limits of my language are the limits of my world." (Ludwig Wittgenstein)

Idiomaggio is a twitter bot that detects the language of tweets and responds automatically in the right tongue. In a multilingual world there can be many different languages surround you. With the help of Idiomaggio you can figure out which language is spoken

The twitter bot is working with the NLTK library; mainly with the built-in function ''stop words''. Linking words, conjunctions, articles and pronouns are words that make a language speakable. However, they don't create the meaning of a text. Idiomaggio filters the stop words out and detects their language. In a second step, the tweet will be responded in the correct language.

'''[https://twitter.com/idiomaggio]'''

Idiamaggio understands the European languages Swedish, Danish, Hungarian, Finnish, Portugese, German, Dutch, French, Spanish, Norwegian, English, Russian, Turkish and Italian.

[[File:English.png]]
[[File:Spanish.png]]
[[File:French.png]]
[[File:Italian.png]]

'''The Code'''

<source lang="python">

#!/usr/bin/env python2
# -*- coding: utf-8 -*- #

from twitterbot import TwitterBot
import keys

import nltk
from nltk import wordpunct_tokenize
from nltk.corpus import stopwords

class Idiomaggio(TwitterBot):
def bot_init(self):

"""
Use your own consumer key to make the bot alive.
"""

############################
# REQUIRED: LOGIN DETAILS! #
############################

self.config['api_key'] = keys.consumer_key
self.config['api_secret'] = keys.consumer_secret
self.config['access_key'] = keys.access_token
self.config['access_secret'] = keys.access_token_secret

######################################
# SEMI-OPTIONAL: OTHER CONFIG STUFF! #
######################################

# how often to tweet, in seconds
self.config['tweet_interval'] = 1 * 10 # default: 30 minutes

# use this to define a (min, max) random range of how often to tweet
# e.g., self.config['tweet_interval_range'] = (5*60, 10*60) # tweets every 5-10 minutes
self.config['tweet_interval_range'] = None

# only reply to tweets that specifically mention the bot
self.config['reply_direct_mention_only'] = True

# only include bot followers (and original tweeter) in @-replies
self.config['reply_followers_only'] = True

# fav any tweets that mention this bot?
self.config['autofav_mentions'] = False

# fav any tweets containing these keywords?
self.config['autofav_keywords'] = []

# follow back all followers?
self.config['autofollow'] = False

###########################################
# CUSTOM: your bot's own state variables! #
###########################################

def on_scheduled_tweet(self):

pass

def on_mention(self, tweet, prefix):

text = tweet.text

print(text)

print(type(text))

percentage = {}

tokens = wordpunct_tokenize(text)
words = []

for word in tokens:
words.append(word.lower())

for language in stopwords.fileids():
stopwords_set = set(stopwords.words(language))
words_set = set(words)
most_common = words_set.intersection(stopwords_set)
percentage[language] = len(most_common)

most_probable = max(percentage, key=percentage.get)

if most_probable == "danish":
response = u'Hej! Taler du dansk?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "dutch":
response = u'Hi! Groeten uit Holland.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "english":
response = u'Hey! I speak some English.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "finnish":
response = u'Hei! Terveisiä Suomi.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "french":
response = u'Salut! Parlez-vous français?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "german":
response = u'Hey! Sprichst du deutsch?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "hungarian":
response = u'Hello! Beszélsz magyarul?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "italian":
response = u'Ciao! Saluti da Italia.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "norwegian":
response = u'Hei! Jeg snakker norsk.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "portuguese":
response = u'Olá! Você fala português?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "russian":
response = u'Привет! Привет из России.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "spanish":
response = u'¡Hola! Saludos desde España.'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "swedish":
response = u'Hej! Talar du svenska?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

if most_probable == "turkish":
response = u'Merhaba! Türkçe biliyor musun?'
prefixed = prefix + ' ' + response
self.post_tweet(prefixed, reply_to=tweet)

# print(percentage)

# print(stopwords_set)
# print(words_set)

print("The language of your text is %s" % most_probable)

def on_timeline(self, tweet, prefix):

pass

if __name__ == '__main__':
bot = Idiomaggio()
bot.run()

</source>

[[File:myrobot.png|100px100px|thumb|left]]

unfortunately I got stuck with the cmudict.dict - function of NLTK, while using this idea: http://h6o6.com/2013/03/using-python-and-the-nltk-to-find-haikus-in-the-public-twitter-stream/

so the result is not that complex… :(

grab the code at pastebin: http://pastebin.com/GvgyfDUU

GMU:Bots 'n' Plots/Christopher Marx

2015-06-16T22:23:24Z

Christopher Marx: text change

Page of Christopher Marx

[[File:myrobot.png|100px100px|thumb|left]]

unfortunately I got stuck with the cmudict.dict - function of NLTK, while using this idea: http://h6o6.com/2013/03/using-python-and-the-nltk-to-find-haikus-in-the-public-twitter-stream/

so the result is not that complex… :(

grab the code at pastebin: http://pastebin.com/GvgyfDUU

GMU:Bots 'n' Plots/Christopher Marx

2015-06-16T22:22:59Z

Christopher Marx: text edit

Page of Christopher Marx

[[File:myrobot.png|100px100px|thumb|left]]

[[File:Ktloz.gif|100px100px|thumb|left]]

unfortunately I got stuck with the cmudict.dict - function of NLTK, while using this idea: http://h6o6.com/2013/03/using-python-and-the-nltk-to-find-haikus-in-the-public-twitter-stream/

so the result is not that complex… :(

grab the code at pastebin: http://pastebin.com/GvgyfDUU

GMU:Bots 'n' Plots/Christopher Marx

2015-04-29T15:44:40Z

Christopher Marx:

File:Ktloz.gif

2015-04-29T15:41:16Z

Christopher Marx:

== Summary ==

== Copyright status: ==

== Source: ==

GMU:Bots 'n' Plots/Christopher Marx

2015-04-22T17:38:30Z

Christopher Marx:

Page of Christopher Marx

[[File:myrobot.png|100px100px|thumb|left]]

GMU:Bots 'n' Plots/Christopher Marx

2015-04-22T16:55:04Z

Christopher Marx: edit picture

Page of Christopher Marx

[[File:myrobot.png]]

File:Myrobot.png

2015-04-22T16:51:50Z

Christopher Marx: My little robot enters the net

== Summary ==
My little robot enters the net
== Copyright status: ==

== Licensing ==
{{self|c}}
== Source: ==

GMU:Bots 'n' Plots/Part1

2015-04-18T12:16:57Z

Christopher Marx: /* Bots on Twitter */

== Python ==

Part I of [[GMU:Bots 'n' Plots]].

=== Homework ===

* Create your Twitter Account
* Follow @botsnplots
* Create Participant Page
* Play on the [[Playground]]
* Look at the [[Help:Editing|Help Page]]
* Add 1 Bot to each category
* Download Processing!
* Play with Python Mode

== Introduction to Social Bots ==
=== How do you spot a bot? ===
* [[wikipedia:Turing Test|Turing Test]]

=== A little history of chatter bots ===
* [http://loebner.net/Prizef/loebner-prize.html Loebner Prize]
* From [[wikipedia:ELIZA|ELIZA]] to [[wikipedia:Siri|SIRI]] to [[wikipedia:Her (film)|HER]]

=== A little history of plotter bots ===
* [http://www.kurzweilcyberart.com/aaron/ AARON]
* 1960s Computer Art
** [http://dada.compart-bremen.de/item/agent/15 Georg Nees]
** [http://dada.compart-bremen.de/item/agent/68 Frieder Nake]
** [http://dada.compart-bremen.de/item/agent/13 Manfred Mohr]
** [http://dada.compart-bremen.de/item/agent/14 Vera Molnar]
* [http://doc.gold.ac.uk/creativemachine/artworks/ Creative Machine Exhibition] at Goldsmiths

=== A little history of computer poetry ===
* Vocal Art
** [http://www.ubu.com/sound/ursonate.html Ursonate] (Kurt Schwitters)
** [http://www.flong.com/projects/ursonography/ Ursonography] (Golan Levin)
** [https://vimeo.com/38471196 Konsonant] (Jörg Piringer)
* Narrative
** Morphology of the Folktale (Vladimir Propp)
** The Great Automatic Grammatizator (Roald Dahl)
** Data-Driven Journalism

=== Creativity ===
* [[wikipedia:Computational creativity|Computational Creativity]]
* Jon McCormack: Computers and Creativity, ISBN 9781283631525

=== Bots on Twitter ===
* Systema Naturae of Bots
* [http://www.gamesbyangelina.org/talks/codecamp.pdf A Brief History of the Future of Twitter Bots] (Michael Cook)

** Feeds
*** [http://www.twitter.com/big_ben_clock Big Ben Clock]
*** [https://twitter.com/metaphorminute Metaphor a Minute]
*** [http://twitter.com/kinbot Lake Kinneret Bot]
*** [http://www.twitter.com/everyword everyword]
*** [https://twitter.com/sandwiches_bot Random Sandwich]
*** [https://twitter.com/netflix_bot Netflix Bot]
*** [https://twitter.com/factbot1 Fact Bot]
*** [https://twitter.com/feedsynbot News Feed]
** Watchers
*** [https://twitter.com/HugsToTheRescue Hug Bot]
*** [https://twitter.com/YesYoureRacist Yes you're racist]
*** [https://twitter.com/bgebot BGE]
** Interactives
*** [http://twitter.com/oliviataters olivia taters]
*** [https://twitter.com/wikisext how 2 sext]
*** [https://twitter.com/eliza_bot Eliza Bot]
** Imagebots
*** [https://twitter.com/imgblur Img Blur]
*** [https://twitter.com/ClipArtBot Clip Art Bot]
*** [https://twitter.com/lowpolybot low-poly Bot]
*** [https://twitter.com/MiraculousPics Miraculous Pictures]
** Feats
** Mashups
***[https://twitter.com/algo_news Algo News]
***[https://twitter.com/LatourSwag Latour Swag]
** Bot-on-Bot
** Statements
*** [https://twitter.com/NRA_Tally NRA Tally]
*** [https://twitter.com/NSA_PRISMbot NSA Prismbot]
** Meat
*** [https://twitter.com/GooglePoetics Google Poetics]
*** [https://twitter.com/Horse_ebooks Horse ebook]

* [http://golancourses.net/2015/category/31-bot/ Bot Class] by Golan Levin

== Learning to use the Tools ==

=== Using the Wiki + the Mailinglist ===
* [[Help:Editing|Using the Wiki]]
* [[GMU:Mailinglist|Using the Mailinglist]]

=== Using Twitter ===
* The [https://support.twitter.com/articles/166337-the-twitter-glossary# Twitter Glossary]
* ''[https://twitter.com/signup Sign The Fxxk Up!]'' and follow [http://twitter.com/botsnplots @botsnplots]
* Twitter Apps and the Twitter API

=== Using Python in Processing ===
* [http://processing.org/download/ Get Processing!]
* [http://py.processing.org Processing Python Mode]
** [http://py.processing.org/reference/ Reference]
** [http://py.processing.org/tutorials/ Tutorials]

=== Using iPython Notebooks ===

* iPython (interactive Python, runs in the browser)
** Play with it [https://tmpnb.org/ here]
** Explore iPython Notebooks [http://nbviewer.ipython.org/ here]

* Jupyter (Class-Environment for iPython)
** We will set up our own Jupyter server for you.
** Nice Example of browser based python using Jupyter [https://www.youtube.com/watch?v=iSGXOU5C3sQ here] (by Doug Blank)

== Learn Programming in Python ==
* Commands
* Variables
* Control Flow
* Functions
* Dictionaries, Lists, Sets

=== Links ===

TO BE DONE

=== Literature ===

==== Python Books ====

TO BE DONE

{{PythonBooks}}

==== Processing Books ====
{{ProcessingBooks}}

GMU:Bots 'n' Plots/Part1

2015-04-18T12:12:33Z

Christopher Marx: /* Bots on Twitter */

== Python ==

Part I of [[GMU:Bots 'n' Plots]].

=== Homework ===

* Create your Twitter Account
* Follow @botsnplots
* Create Participant Page
* Play on the [[Playground]]
* Look at the [[Help:Editing|Help Page]]
* Add 1 Bot to each category
* Download Processing!
* Play with Python Mode

== Introduction to Social Bots ==
=== How do you spot a bot? ===
* [[wikipedia:Turing Test|Turing Test]]

=== A little history of chatter bots ===
* [http://loebner.net/Prizef/loebner-prize.html Loebner Prize]
* From [[wikipedia:ELIZA|ELIZA]] to [[wikipedia:Siri|SIRI]] to [[wikipedia:Her (film)|HER]]

=== A little history of plotter bots ===
* [http://www.kurzweilcyberart.com/aaron/ AARON]
* 1960s Computer Art
** [http://dada.compart-bremen.de/item/agent/15 Georg Nees]
** [http://dada.compart-bremen.de/item/agent/68 Frieder Nake]
** [http://dada.compart-bremen.de/item/agent/13 Manfred Mohr]
** [http://dada.compart-bremen.de/item/agent/14 Vera Molnar]
* [http://doc.gold.ac.uk/creativemachine/artworks/ Creative Machine Exhibition] at Goldsmiths

=== A little history of computer poetry ===
* Vocal Art
** [http://www.ubu.com/sound/ursonate.html Ursonate] (Kurt Schwitters)
** [http://www.flong.com/projects/ursonography/ Ursonography] (Golan Levin)
** [https://vimeo.com/38471196 Konsonant] (Jörg Piringer)
* Narrative
** Morphology of the Folktale (Vladimir Propp)
** The Great Automatic Grammatizator (Roald Dahl)
** Data-Driven Journalism

=== Creativity ===
* [[wikipedia:Computational creativity|Computational Creativity]]
* Jon McCormack: Computers and Creativity, ISBN 9781283631525

=== Bots on Twitter ===
* Systema Naturae of Bots
* [http://www.gamesbyangelina.org/talks/codecamp.pdf A Brief History of the Future of Twitter Bots] (Michael Cook)

** Feeds
*** [http://www.twitter.com/big_ben_clock Big Ben Clock]
*** [https://twitter.com/metaphorminute Metaphor a Minute]
*** [http://twitter.com/kinbot Lake Kinneret Bot]
*** [http://www.twitter.com/everyword everyword]
*** [https://twitter.com/sandwiches_bot Random Sandwich]
*** [https://twitter.com/netflix_bot Netflix Bot]
*** [https://twitter.com/factbot1 Fact Bot]
*** [https://twitter.com/feedsynbot News Feed]
** Watchers
*** [https://twitter.com/HugsToTheRescue Hug Bot]
*** [https://twitter.com/YesYoureRacist Yes you're racist]
*** [https://twitter.com/bgebot BGE]
** Interactives
*** [http://twitter.com/oliviataters olivia taters]
*** [https://twitter.com/wikisext how 2 sext]
*** [https://twitter.com/eliza_bot Eliza Bot]
** Imagebots
*** [https://twitter.com/imgblur Img Blur]
*** [https://twitter.com/ClipArtBot Clip Art Bot]
*** [https://twitter.com/lowpolybot low-poly Bot]
*** [https://twitter.com/MiraculousPics Miraculous Pictures]
** Feats
** Mashups
***[https://twitter.com/algo_news Algo News]
** Bot-on-Bot
** Statements
*** [https://twitter.com/NRA_Tally NRA Tally]
*** [https://twitter.com/NSA_PRISMbot NSA Prismbot]
** Meat
*** [https://twitter.com/GooglePoetics Google Poetics]
*** [https://twitter.com/Horse_ebooks Horse ebook]

* [http://golancourses.net/2015/category/31-bot/ Bot Class] by Golan Levin

== Learning to use the Tools ==

=== Using the Wiki + the Mailinglist ===
* [[Help:Editing|Using the Wiki]]
* [[GMU:Mailinglist|Using the Mailinglist]]

=== Using Twitter ===
* The [https://support.twitter.com/articles/166337-the-twitter-glossary# Twitter Glossary]
* ''[https://twitter.com/signup Sign The Fxxk Up!]'' and follow [http://twitter.com/botsnplots @botsnplots]
* Twitter Apps and the Twitter API

=== Using Python in Processing ===
* [http://processing.org/download/ Get Processing!]
* [http://py.processing.org Processing Python Mode]
** [http://py.processing.org/reference/ Reference]
** [http://py.processing.org/tutorials/ Tutorials]

=== Using iPython Notebooks ===

* iPython (interactive Python, runs in the browser)
** Play with it [https://tmpnb.org/ here]
** Explore iPython Notebooks [http://nbviewer.ipython.org/ here]

* Jupyter (Class-Environment for iPython)
** We will set up our own Jupyter server for you.
** Nice Example of browser based python using Jupyter [https://www.youtube.com/watch?v=iSGXOU5C3sQ here] (by Doug Blank)

== Learn Programming in Python ==
* Commands
* Variables
* Control Flow
* Functions
* Dictionaries, Lists, Sets

=== Links ===

TO BE DONE

=== Literature ===

==== Python Books ====

TO BE DONE

{{PythonBooks}}

==== Processing Books ====
{{ProcessingBooks}}

GMU:Bots 'n' Plots/Part1

2015-04-18T11:59:19Z

Christopher Marx: /* Bots on Twitter */

== Python ==

Part I of [[GMU:Bots 'n' Plots]].

=== Homework ===

* Create your Twitter Account
* Follow @botsnplots
* Create Participant Page
* Play on the [[Playground]]
* Look at the [[Help:Editing|Help Page]]
* Add 1 Bot to each category
* Download Processing!
* Play with Python Mode

== Introduction to Social Bots ==
=== How do you spot a bot? ===
* [[wikipedia:Turing Test|Turing Test]]

=== A little history of chatter bots ===
* [http://loebner.net/Prizef/loebner-prize.html Loebner Prize]
* From [[wikipedia:ELIZA|ELIZA]] to [[wikipedia:Siri|SIRI]] to [[wikipedia:Her (film)|HER]]

=== A little history of plotter bots ===
* [http://www.kurzweilcyberart.com/aaron/ AARON]
* 1960s Computer Art
** [http://dada.compart-bremen.de/item/agent/15 Georg Nees]
** [http://dada.compart-bremen.de/item/agent/68 Frieder Nake]
** [http://dada.compart-bremen.de/item/agent/13 Manfred Mohr]
** [http://dada.compart-bremen.de/item/agent/14 Vera Molnar]
* [http://doc.gold.ac.uk/creativemachine/artworks/ Creative Machine Exhibition] at Goldsmiths

=== A little history of computer poetry ===
* Vocal Art
** [http://www.ubu.com/sound/ursonate.html Ursonate] (Kurt Schwitters)
** [http://www.flong.com/projects/ursonography/ Ursonography] (Golan Levin)
** [https://vimeo.com/38471196 Konsonant] (Jörg Piringer)
* Narrative
** Morphology of the Folktale (Vladimir Propp)
** The Great Automatic Grammatizator (Roald Dahl)
** Data-Driven Journalism

=== Creativity ===
* [[wikipedia:Computational creativity|Computational Creativity]]
* Jon McCormack: Computers and Creativity, ISBN 9781283631525

=== Bots on Twitter ===
* Systema Naturae of Bots
* [http://www.gamesbyangelina.org/talks/codecamp.pdf A Brief History of the Future of Twitter Bots] (Michael Cook)

** Feeds
*** [http://www.twitter.com/big_ben_clock Big Ben Clock]
*** [https://twitter.com/metaphorminute Metaphor a Minute]
*** [http://twitter.com/kinbot Lake Kinneret Bot]
*** [http://www.twitter.com/everyword everyword]
*** [https://twitter.com/sandwiches_bot Random Sandwich]
*** [https://twitter.com/netflix_bot Netflix Bot]
*** [https://twitter.com/factbot1 Fact Bot]
*** [https://twitter.com/feedsynbot News Feed]
** Watchers
*** [https://twitter.com/HugsToTheRescue Hug Bot]
*** [https://twitter.com/YesYoureRacist Yes you're racist]
*** [https://twitter.com/bgebot BGE]
** Interactives
*** [http://twitter.com/oliviataters olivia taters]
*** [https://twitter.com/wikisext how 2 sext]
** Imagebots
*** [https://twitter.com/imgblur Img Blur]
*** [https://twitter.com/ClipArtBot Clip Art Bot]
** Feats
** Mashups
***[https://twitter.com/algo_news Algo News]
** Bot-on-Bot
** Statements
*** [https://twitter.com/NRA_Tally NRA Tally]
*** [https://twitter.com/NSA_PRISMbot NSA Prismbot]
** Meat
*** [https://twitter.com/GooglePoetics Google Poetics]
*** [https://twitter.com/Horse_ebooks Horse ebook]

* [http://golancourses.net/2015/category/31-bot/ Bot Class] by Golan Levin

== Learning to use the Tools ==

=== Using the Wiki + the Mailinglist ===
* [[Help:Editing|Using the Wiki]]
* [[GMU:Mailinglist|Using the Mailinglist]]

=== Using Twitter ===
* The [https://support.twitter.com/articles/166337-the-twitter-glossary# Twitter Glossary]
* ''[https://twitter.com/signup Sign The Fxxk Up!]'' and follow [http://twitter.com/botsnplots @botsnplots]
* Twitter Apps and the Twitter API

=== Using Python in Processing ===
* [http://processing.org/download/ Get Processing!]
* [http://py.processing.org Processing Python Mode]
** [http://py.processing.org/reference/ Reference]
** [http://py.processing.org/tutorials/ Tutorials]

=== Using iPython Notebooks ===

* iPython (interactive Python, runs in the browser)
** Play with it [https://tmpnb.org/ here]
** Explore iPython Notebooks [http://nbviewer.ipython.org/ here]

* Jupyter (Class-Environment for iPython)
** We will set up our own Jupyter server for you.
** Nice Example of browser based python using Jupyter [https://www.youtube.com/watch?v=iSGXOU5C3sQ here] (by Doug Blank)

== Learn Programming in Python ==
* Commands
* Variables
* Control Flow
* Functions
* Dictionaries, Lists, Sets

=== Links ===

TO BE DONE

=== Literature ===

==== Python Books ====

TO BE DONE

{{PythonBooks}}

==== Processing Books ====
{{ProcessingBooks}}

GMU:Bots 'n' Plots/Part1

2015-04-18T11:50:37Z

Christopher Marx: /* Bots on Twitter */

== Python ==

Part I of [[GMU:Bots 'n' Plots]].

=== Homework ===

* Create your Twitter Account
* Follow @botsnplots
* Create Participant Page
* Play on the [[Playground]]
* Look at the [[Help:Editing|Help Page]]
* Add 1 Bot to each category
* Download Processing!
* Play with Python Mode

== Introduction to Social Bots ==
=== How do you spot a bot? ===
* [[wikipedia:Turing Test|Turing Test]]

=== A little history of chatter bots ===
* [http://loebner.net/Prizef/loebner-prize.html Loebner Prize]
* From [[wikipedia:ELIZA|ELIZA]] to [[wikipedia:Siri|SIRI]] to [[wikipedia:Her (film)|HER]]

=== A little history of plotter bots ===
* [http://www.kurzweilcyberart.com/aaron/ AARON]
* 1960s Computer Art
** [http://dada.compart-bremen.de/item/agent/15 Georg Nees]
** [http://dada.compart-bremen.de/item/agent/68 Frieder Nake]
** [http://dada.compart-bremen.de/item/agent/13 Manfred Mohr]
** [http://dada.compart-bremen.de/item/agent/14 Vera Molnar]
* [http://doc.gold.ac.uk/creativemachine/artworks/ Creative Machine Exhibition] at Goldsmiths

=== A little history of computer poetry ===
* Vocal Art
** [http://www.ubu.com/sound/ursonate.html Ursonate] (Kurt Schwitters)
** [http://www.flong.com/projects/ursonography/ Ursonography] (Golan Levin)
** [https://vimeo.com/38471196 Konsonant] (Jörg Piringer)
* Narrative
** Morphology of the Folktale (Vladimir Propp)
** The Great Automatic Grammatizator (Roald Dahl)
** Data-Driven Journalism

=== Creativity ===
* [[wikipedia:Computational creativity|Computational Creativity]]
* Jon McCormack: Computers and Creativity, ISBN 9781283631525

=== Bots on Twitter ===
* Systema Naturae of Bots
* [http://www.gamesbyangelina.org/talks/codecamp.pdf A Brief History of the Future of Twitter Bots] (Michael Cook)

** Feeds
*** [http://www.twitter.com/big_ben_clock Big Ben Clock]
*** [http://twitter.com/kinbot Lake Kinneret Bot]
*** [http://www.twitter.com/everyword everyword]
*** [https://twitter.com/sandwiches_bot Random Sandwich]
*** [https://twitter.com/netflix_bot Netflix Bot]
*** [https://twitter.com/factbot1 Fact Bot]
** Watchers
*** [https://twitter.com/HugsToTheRescue Hug Bot]
*** [https://twitter.com/YesYoureRacist Yes you're racist]
** Interactives
*** [http://twitter.com/oliviataters olivia taters]
*** [https://twitter.com/wikisext how 2 sext]
** Imagebots
*** [https://twitter.com/imgblur Img Blur]
*** [https://twitter.com/ClipArtBot Clip Art Bot]
** Feats
** Mashups
***[https://twitter.com/algo_news Algo News]
** Bot-on-Bot
** Statements
*** [https://twitter.com/NRA_Tally NRA Tally]
** Meat
*** [https://twitter.com/GooglePoetics Google Poetics]
*** [https://twitter.com/Horse_ebooks Horse ebook]

* [http://golancourses.net/2015/category/31-bot/ Bot Class] by Golan Levin

== Learning to use the Tools ==

=== Using the Wiki + the Mailinglist ===
* [[Help:Editing|Using the Wiki]]
* [[GMU:Mailinglist|Using the Mailinglist]]

=== Using Twitter ===
* The [https://support.twitter.com/articles/166337-the-twitter-glossary# Twitter Glossary]
* ''[https://twitter.com/signup Sign The Fxxk Up!]'' and follow [http://twitter.com/botsnplots @botsnplots]
* Twitter Apps and the Twitter API

=== Using Python in Processing ===
* [http://processing.org/download/ Get Processing!]
* [http://py.processing.org Processing Python Mode]
** [http://py.processing.org/reference/ Reference]
** [http://py.processing.org/tutorials/ Tutorials]

=== Using iPython Notebooks ===

* iPython (interactive Python, runs in the browser)
** Play with it [https://tmpnb.org/ here]
** Explore iPython Notebooks [http://nbviewer.ipython.org/ here]

* Jupyter (Class-Environment for iPython)
** We will set up our own Jupyter server for you.
** Nice Example of browser based python using Jupyter [https://www.youtube.com/watch?v=iSGXOU5C3sQ here] (by Doug Blank)

== Learn Programming in Python ==
* Commands
* Variables
* Control Flow
* Functions
* Dictionaries, Lists, Sets

=== Links ===

TO BE DONE

=== Literature ===

==== Python Books ====

TO BE DONE

{{PythonBooks}}

==== Processing Books ====
{{ProcessingBooks}}

GMU:Bots 'n' Plots/Part1

2015-04-18T11:48:35Z

Christopher Marx: /* Bots on Twitter */

== Python ==

Part I of [[GMU:Bots 'n' Plots]].

=== Homework ===

* Create your Twitter Account
* Follow @botsnplots
* Create Participant Page
* Play on the [[Playground]]
* Look at the [[Help:Editing|Help Page]]
* Add 1 Bot to each category
* Download Processing!
* Play with Python Mode

== Introduction to Social Bots ==
=== How do you spot a bot? ===
* [[wikipedia:Turing Test|Turing Test]]

=== A little history of chatter bots ===
* [http://loebner.net/Prizef/loebner-prize.html Loebner Prize]
* From [[wikipedia:ELIZA|ELIZA]] to [[wikipedia:Siri|SIRI]] to [[wikipedia:Her (film)|HER]]

=== A little history of plotter bots ===
* [http://www.kurzweilcyberart.com/aaron/ AARON]
* 1960s Computer Art
** [http://dada.compart-bremen.de/item/agent/15 Georg Nees]
** [http://dada.compart-bremen.de/item/agent/68 Frieder Nake]
** [http://dada.compart-bremen.de/item/agent/13 Manfred Mohr]
** [http://dada.compart-bremen.de/item/agent/14 Vera Molnar]
* [http://doc.gold.ac.uk/creativemachine/artworks/ Creative Machine Exhibition] at Goldsmiths

=== A little history of computer poetry ===
* Vocal Art
** [http://www.ubu.com/sound/ursonate.html Ursonate] (Kurt Schwitters)
** [http://www.flong.com/projects/ursonography/ Ursonography] (Golan Levin)
** [https://vimeo.com/38471196 Konsonant] (Jörg Piringer)
* Narrative
** Morphology of the Folktale (Vladimir Propp)
** The Great Automatic Grammatizator (Roald Dahl)
** Data-Driven Journalism

=== Creativity ===
* [[wikipedia:Computational creativity|Computational Creativity]]
* Jon McCormack: Computers and Creativity, ISBN 9781283631525

=== Bots on Twitter ===
* Systema Naturae of Bots
* [http://www.gamesbyangelina.org/talks/codecamp.pdf A Brief History of the Future of Twitter Bots] (Michael Cook)

** Feeds
*** [http://www.twitter.com/big_ben_clock Big Ben Clock]
*** [http://twitter.com/kinbot Lake Kinneret Bot]
*** [http://www.twitter.com/everyword everyword]
*** [https://twitter.com/sandwiches_bot Random Sandwich]
*** [https://twitter.com/netflix_bot Netflix Bot]
*** [https://twitter.com/factbot1 Fact Bot]
** Watchers
*** [https://twitter.com/HugsToTheRescue Hug Bot]
*** [https://twitter.com/YesYoureRacist Yes you're racist]
** Interactives
*** [http://twitter.com/oliviataters olivia taters]
*** [https://twitter.com/wikisext how 2 sext]
** Imagebots
*** [https://twitter.com/imgblur Img Blur]
*** [https://twitter.com/ClipArtBot Clip Art Bot]
** Feats
** Mashups
***[https://twitter.com/algo_news Algo News]
** Bot-on-Bot
** Statements
** Meat
*** [https://twitter.com/GooglePoetics Google Poetics]
*** [https://twitter.com/Horse_ebooks Horse ebook]

* [http://golancourses.net/2015/category/31-bot/ Bot Class] by Golan Levin

== Learning to use the Tools ==

=== Using the Wiki + the Mailinglist ===
* [[Help:Editing|Using the Wiki]]
* [[GMU:Mailinglist|Using the Mailinglist]]

=== Using Twitter ===
* The [https://support.twitter.com/articles/166337-the-twitter-glossary# Twitter Glossary]
* ''[https://twitter.com/signup Sign The Fxxk Up!]'' and follow [http://twitter.com/botsnplots @botsnplots]
* Twitter Apps and the Twitter API

=== Using Python in Processing ===
* [http://processing.org/download/ Get Processing!]
* [http://py.processing.org Processing Python Mode]
** [http://py.processing.org/reference/ Reference]
** [http://py.processing.org/tutorials/ Tutorials]

=== Using iPython Notebooks ===

* iPython (interactive Python, runs in the browser)
** Play with it [https://tmpnb.org/ here]
** Explore iPython Notebooks [http://nbviewer.ipython.org/ here]

* Jupyter (Class-Environment for iPython)
** We will set up our own Jupyter server for you.
** Nice Example of browser based python using Jupyter [https://www.youtube.com/watch?v=iSGXOU5C3sQ here] (by Doug Blank)

== Learn Programming in Python ==
* Commands
* Variables
* Control Flow
* Functions
* Dictionaries, Lists, Sets

=== Links ===

TO BE DONE

=== Literature ===

==== Python Books ====

TO BE DONE

{{PythonBooks}}

==== Processing Books ====
{{ProcessingBooks}}

GMU:Bots 'n' Plots/Part1

2015-04-18T11:45:19Z

Christopher Marx: /* Bots on Twitter */

== Python ==

Part I of [[GMU:Bots 'n' Plots]].

=== Homework ===

* Create your Twitter Account
* Follow @botsnplots
* Create Participant Page
* Play on the [[Playground]]
* Look at the [[Help:Editing|Help Page]]
* Add 1 Bot to each category
* Download Processing!
* Play with Python Mode

== Introduction to Social Bots ==
=== How do you spot a bot? ===
* [[wikipedia:Turing Test|Turing Test]]

=== A little history of chatter bots ===
* [http://loebner.net/Prizef/loebner-prize.html Loebner Prize]
* From [[wikipedia:ELIZA|ELIZA]] to [[wikipedia:Siri|SIRI]] to [[wikipedia:Her (film)|HER]]

=== A little history of plotter bots ===
* [http://www.kurzweilcyberart.com/aaron/ AARON]
* 1960s Computer Art
** [http://dada.compart-bremen.de/item/agent/15 Georg Nees]
** [http://dada.compart-bremen.de/item/agent/68 Frieder Nake]
** [http://dada.compart-bremen.de/item/agent/13 Manfred Mohr]
** [http://dada.compart-bremen.de/item/agent/14 Vera Molnar]
* [http://doc.gold.ac.uk/creativemachine/artworks/ Creative Machine Exhibition] at Goldsmiths

=== A little history of computer poetry ===
* Vocal Art
** [http://www.ubu.com/sound/ursonate.html Ursonate] (Kurt Schwitters)
** [http://www.flong.com/projects/ursonography/ Ursonography] (Golan Levin)
** [https://vimeo.com/38471196 Konsonant] (Jörg Piringer)
* Narrative
** Morphology of the Folktale (Vladimir Propp)
** The Great Automatic Grammatizator (Roald Dahl)
** Data-Driven Journalism

=== Creativity ===
* [[wikipedia:Computational creativity|Computational Creativity]]
* Jon McCormack: Computers and Creativity, ISBN 9781283631525

=== Bots on Twitter ===
* Systema Naturae of Bots
* [http://www.gamesbyangelina.org/talks/codecamp.pdf A Brief History of the Future of Twitter Bots] (Michael Cook)

** Feeds
*** [http://www.twitter.com/big_ben_clock Big Ben Clock]
*** [http://twitter.com/kinbot Lake Kinneret Bot]
*** [http://www.twitter.com/everyword everyword]
*** [https://twitter.com/sandwiches_bot Random Sandwich]
*** [https://twitter.com/netflix_bot Netflix Bot]
*** [https://twitter.com/factbot1 Fact Bot]
** Watchers
*** [https://twitter.com/HugsToTheRescue Hug Bot]
*** [https://twitter.com/YesYoureRacist Yes you're racist]
** Interactives
*** [http://twitter.com/oliviataters olivia taters]
*** [https://twitter.com/wikisext how 2 sext]
** Imagebots
*** [https://twitter.com/imgblur Img Blur]
*** [https://twitter.com/ClipArtBot Clip Art Bot]
** Feats
** Mashups
***[https://twitter.com/algo_news Algo News]
** Bot-on-Bot
** Statements
** Meat
*** [https://twitter.com/GoogleLyrik Google Lyrik]

* [http://golancourses.net/2015/category/31-bot/ Bot Class] by Golan Levin

== Learning to use the Tools ==

=== Using the Wiki + the Mailinglist ===
* [[Help:Editing|Using the Wiki]]
* [[GMU:Mailinglist|Using the Mailinglist]]

=== Using Twitter ===
* The [https://support.twitter.com/articles/166337-the-twitter-glossary# Twitter Glossary]
* ''[https://twitter.com/signup Sign The Fxxk Up!]'' and follow [http://twitter.com/botsnplots @botsnplots]
* Twitter Apps and the Twitter API

=== Using Python in Processing ===
* [http://processing.org/download/ Get Processing!]
* [http://py.processing.org Processing Python Mode]
** [http://py.processing.org/reference/ Reference]
** [http://py.processing.org/tutorials/ Tutorials]

=== Using iPython Notebooks ===

* iPython (interactive Python, runs in the browser)
** Play with it [https://tmpnb.org/ here]
** Explore iPython Notebooks [http://nbviewer.ipython.org/ here]

* Jupyter (Class-Environment for iPython)
** We will set up our own Jupyter server for you.
** Nice Example of browser based python using Jupyter [https://www.youtube.com/watch?v=iSGXOU5C3sQ here] (by Doug Blank)

== Learn Programming in Python ==
* Commands
* Variables
* Control Flow
* Functions
* Dictionaries, Lists, Sets

=== Links ===

TO BE DONE

=== Literature ===

==== Python Books ====

TO BE DONE

{{PythonBooks}}

==== Processing Books ====
{{ProcessingBooks}}

GMU:Bots 'n' Plots/Part1

2015-04-18T11:41:29Z

Christopher Marx: /* Bots on Twitter */

== Python ==

Part I of [[GMU:Bots 'n' Plots]].

=== Homework ===

* Create your Twitter Account
* Follow @botsnplots
* Create Participant Page
* Play on the [[Playground]]
* Look at the [[Help:Editing|Help Page]]
* Add 1 Bot to each category
* Download Processing!
* Play with Python Mode

== Introduction to Social Bots ==
=== How do you spot a bot? ===
* [[wikipedia:Turing Test|Turing Test]]

=== A little history of chatter bots ===
* [http://loebner.net/Prizef/loebner-prize.html Loebner Prize]
* From [[wikipedia:ELIZA|ELIZA]] to [[wikipedia:Siri|SIRI]] to [[wikipedia:Her (film)|HER]]

=== A little history of plotter bots ===
* [http://www.kurzweilcyberart.com/aaron/ AARON]
* 1960s Computer Art
** [http://dada.compart-bremen.de/item/agent/15 Georg Nees]
** [http://dada.compart-bremen.de/item/agent/68 Frieder Nake]
** [http://dada.compart-bremen.de/item/agent/13 Manfred Mohr]
** [http://dada.compart-bremen.de/item/agent/14 Vera Molnar]
* [http://doc.gold.ac.uk/creativemachine/artworks/ Creative Machine Exhibition] at Goldsmiths

=== A little history of computer poetry ===
* Vocal Art
** [http://www.ubu.com/sound/ursonate.html Ursonate] (Kurt Schwitters)
** [http://www.flong.com/projects/ursonography/ Ursonography] (Golan Levin)
** [https://vimeo.com/38471196 Konsonant] (Jörg Piringer)
* Narrative
** Morphology of the Folktale (Vladimir Propp)
** The Great Automatic Grammatizator (Roald Dahl)
** Data-Driven Journalism

=== Creativity ===
* [[wikipedia:Computational creativity|Computational Creativity]]
* Jon McCormack: Computers and Creativity, ISBN 9781283631525

=== Bots on Twitter ===
* Systema Naturae of Bots
* [http://www.gamesbyangelina.org/talks/codecamp.pdf A Brief History of the Future of Twitter Bots] (Michael Cook)

** Feeds
*** [http://www.twitter.com/big_ben_clock Big Ben Clock]
*** [http://twitter.com/kinbot Lake Kinneret Bot]
*** [http://www.twitter.com/everyword everyword]
*** [https://twitter.com/sandwiches_bot Random Sandwich]
*** [https://twitter.com/netflix_bot Netflix Bot]
*** [https://twitter.com/factbot1 Fact Bot]
** Watchers
*** [https://twitter.com/HugsToTheRescue Hug Bot]
*** [https://twitter.com/YesYoureRacist Yes you're racist]
** Interactives
*** [http://twitter.com/oliviataters olivia taters]
*** [https://twitter.com/wikisext how 2 sext]
** Imagebots
*** [https://twitter.com/imgblur Img Blur]
*** [https://twitter.com/ClipArtBot Clip Art Bot]
** Feats
** Mashups
***[https://twitter.com/algo_news Algo News]
** Bot-on-Bot
** Statements
** Meat
*** [https://twitter.com/GoogleLyrik]

* [http://golancourses.net/2015/category/31-bot/ Bot Class] by Golan Levin

== Learning to use the Tools ==

=== Using the Wiki + the Mailinglist ===
* [[Help:Editing|Using the Wiki]]
* [[GMU:Mailinglist|Using the Mailinglist]]

=== Using Twitter ===
* The [https://support.twitter.com/articles/166337-the-twitter-glossary# Twitter Glossary]
* ''[https://twitter.com/signup Sign The Fxxk Up!]'' and follow [http://twitter.com/botsnplots @botsnplots]
* Twitter Apps and the Twitter API

=== Using Python in Processing ===
* [http://processing.org/download/ Get Processing!]
* [http://py.processing.org Processing Python Mode]
** [http://py.processing.org/reference/ Reference]
** [http://py.processing.org/tutorials/ Tutorials]

=== Using iPython Notebooks ===

* iPython (interactive Python, runs in the browser)
** Play with it [https://tmpnb.org/ here]
** Explore iPython Notebooks [http://nbviewer.ipython.org/ here]

* Jupyter (Class-Environment for iPython)
** We will set up our own Jupyter server for you.
** Nice Example of browser based python using Jupyter [https://www.youtube.com/watch?v=iSGXOU5C3sQ here] (by Doug Blank)

== Learn Programming in Python ==
* Commands
* Variables
* Control Flow
* Functions
* Dictionaries, Lists, Sets

=== Links ===

TO BE DONE

=== Literature ===

==== Python Books ====

TO BE DONE

{{PythonBooks}}

==== Processing Books ====
{{ProcessingBooks}}

GMU:Bots 'n' Plots/Christopher Marx

2015-04-15T18:28:40Z

Christopher Marx: Created page with "Page of Christopher Marx"

Page of Christopher Marx

GMU:Bots 'n' Plots

2015-04-15T18:28:14Z

Christopher Marx: /* Participants */

[[Image:Bots-n-plots-maillardet-drawing.png|thumb|left|300px|''Drawing by [[wikipedia:Maillardet's automaton|the Draughtsman-Writer Bot]] ca. 1800'']] 

'''Bots 'n' Plots — Malen nach 0 und 1'''

[[:Category:Werkmodul|Werkmodul]]/[[:Category:Fachmodul|Fachmodul]] 
''Lecturer:'' [[User:ms|Martin Schneider]] 
''Credits:'' 6 [[ECTS]], 4 [[SWS]] 
''Date:'' Wednesday 17:00 - 20:30 Uhr 
''Venue:'' [[Marienstraße 7b]], Room 204 
''First meeting:'' Wednesday, 15. Apr. 2015

 

'''NEWS'''

'''The Deadline has been extended by 24 hours :)'''
'''You need to apply until 24:00 on April 13th, 2015.'''
Applications after the deadline will not be taken into consideration.
I will let you know if you made it onto the list on April 14th.

'''Follow [http://twitter.com/botsnplots @botsnplots] on Twitter!

== Description ==

''The internet of things is infiltrating the social web.'' 
''A rich ecosystem of social bots is evolving right now.'' 
''Those bots range from the purposeful via the poetic to the philosophical.'' 
''And they are starting to talk to each other.'' 

In the Bots 'n' Plots course, we will create little robots that doodle and babble. 
Our robots will be based in software, but we will also learn how to connect them with the physical world, using vision sound and serial connections. 

In the course of the class you will:

* Learn programming with Python
* Process images and text
* Create generative drawings and poems
* Use APIs for the social web, including Twitter and Mediawiki
* Create your own software bots and make them talk to each other

The course requires no previous programming experience.

As a result of the course you will acquire fundamental programming skills that will enable you to take more advanced courses in the future. 
It is recommended to combine the course with the [[GMU:eval(nature)|eval(nature) module]]. 

== Beschreibung ==

''Das Internet der Dinge erobert die sozialen Netzwerke.'' 
''Im Augenblick entwickelt sich ein vielfältiges Ökosystem sozialer Bots.'' 
''Die Bots decken ein weites Spektrum ab, vom Praktischen, über Poetisches bis hin zum Philosophischen.'' 
''Und sie fangen an miteinander zu kommunizieren...'' 

In ''Malen nach 0 und 1'' werden wir kleine Roboter erschaffen, die kritzeln und brabbeln. 
Unsere Roboter bestehen aus Nullen und Einsen, aber wir werden auch lernen sie mit der materiellen Welt zu verbinden, wobei Kameras, Töne und Kabel zum Einsatz kommen. 

Im Rahmen des Moduls werdet ihr:

* Programmieren mit Python lernen
* Grafik und Text verarbeiten
* Generative Grafiken und Gedichte erzeugen
* APIs für Soziale Netzwerke nutzen, inkl. Twitter und Mediawiki
* Eigene Software-Bots entwickeln und sie dazu bringen miteinander zu reden.

Dieses Modul erfordert keine Programmierkentnisse.

Im Rahmen des Kurses werden grundlegende Programmierkentnisse vermittelt, die es ermöglichen in Zukunft fortgeschrittene Kurse zu belegen. 
Es wird empfohlen diesen Kurs mit dem Projekt-Modul [[GMU:eval(nature)|eval(nature)]] zu kombinieren.

== Language ==

The course will be in English, unless all participants are speaking German.

== Eligible Participants ==

Undergraduates and graduates enrolled in the faculties of:

* Media Art/Design
* Visual Communication

== Requirements ==

* Burning Interest in Artificial Intelligence, Computer-Linguistics and Generative Design
* Previous course about the Internet of Things highly recommended
* Working knowledge of Web Technologies (HTML, CSS, Javascript ...)
* Time and Devotion for lots of coding homework, which may be frustrating at times
* Programming experience considered helpful

== Application ==

The deadline to apply for this course is April 13th, 2015

You need to provide links to previous work to be elligible to this course.

'''To:''' [[User:ms|Martin Schneider]] 
'''Subject:''' Bots n Plots /// Application 
'''Content:'''

# Please provide links to three of your visual, poetic or algorithmic works online.
# Please answer these questions:
#* What is your favourite bot on twitter?
#* What kind of bot would you like to be able to create at the end of the course?
# Please tell us about you:
#* program and semester (Studienprogramm und Fachsemester)
#* matriculation number (Matrikelnummer)
#* Valid email address @uni-weimar.de (no other mailing addresses will be accepted) [[SCC-Services#E-Mail|Why?]]

== Schedule ==

This is the outline of the course.
The details may still be subject to change.

{| class="wikitable"
|-
! Theme !! Topic !! Date
|-
| rowspan="2" | [[/Part1|Part 1: Python]]
| 01: Programming I
| 15. April 2015
|-
| 02: Programming II
| 22. April 2015
|-
| rowspan="4" | [[/Part2|Part 2: Plotter Bots]]
| 03: Drawing and Plotting I
| 29. April 2015
|-
| 04: Drawing and Plotting II
| 06. May 2015
|-
| 05: Image Processing I
| 13. May 2015
|-
| 06: Image Processing II
| 20. May 2015
|-
| rowspan="3" | [[/Part3|Part 3: Chatter Bots]]
| 07: Language Processing I
| 27. May 2015
|-
| 08: Language Processing II
| 03. June 2015
|-
| 09: Generating Poetry
| 10. June 2015
|-
| rowspan="4" | [[/Part4|Part 4: Social Bots]]
| 10: Twitter Bots I
| 17. June 2015
|-
| 11: Twitter Bots II
| 24. June 2015
|-
| 12: Wiki Bots I
| 01. July 2015
|-
| 13: Wiki Bots II
| 08. July 2015
|}

== Evaluation ==

* Presence and active participation (required)
* Punctual and complete submission of homework (required)

* 50% Technical and aesthetic execution of the final bot project
* 20% Emergent behaviour from making the robots talk
* 20% Documentation of the final project
* 10% Contribution to the MediaWiki

== Participants ==

* [[GMU:Bots_'n'_Plots/Sebastian Stang|Sebastian Stang]]
* [[GMU:Bots_'n'_Plots/Maria Degand|Maria Degand]]
* [[GMU:Bots_'n'_Plots/Klaus Kraemer|Klaus Kraemer]]
* [[GMU:Bots_'n'_Plots/Angelica Sohn|Angelica Sohn]]
* [[GMU:Bots_'n'_Plots/Luis Hurtarte|Luis Hurtarte]]
* [[GMU:Bots_'n'_Plots/Apasri Titatarn|Apasri Titatarn]]
* [[GMU:Bots_'n'_Plots/Jan Dropmann|Jan Dropmann]]
* [[GMU:Bots_'n'_Plots/Azucena Sanchez|Azucena Sanchez]]
* [[GMU:Bots_'n'_Plots/Natalia Martínez|Natalia Martínez]]
* [[GMU:Bots_'n'_Plots/smin kim|Smin Kim]]
* [[GMU:Bots_'n'_Plots/minsoo hwang|minsoo Hwang]]
* [[GMU:Bots_'n'_Plots/Christopher Marx|Christopher Marx]]

== Links ==

Here are a couple of links that should give you an idea of where this course is heading ...

=== Learning Python ===
* [http://www.codecademy.com/en/tracks/python Learn Python] at Code Academy
=== Image Processing ===
* [http://software-carpentry.org/v4/media/ Multimedia Programming] by Software Carpentry
=== Video Processing ===
* [https://zulko.github.io/moviepy/ MoviePy] by Zulko
* [https://zulko.github.io/blog/2014/09/20/vector-animations-with-python/ Vector Animations with Python]
=== Language Processing ===
* [http://h6o6.com/2013/03/using-python-and-the-nltk-to-find-haikus-in-the-public-twitter-stream/ Using Python and the NLTK to find Haikus in the public twitter stream]
* [http://dhconnelly.com/paip-python/docs/paip/eliza.html Eliza.py]
=== Twitter ===
* [https://zulko.github.io/blog/2014/07/26/a-tweets-controlled-python-script/|A Python Script controlled via Twitter]

== Literature ==
* Bird, Steven: ''Natural Language Processing with Python'' ISBN 978-0596516499 ([http://www.nltk.org/book/ online])
* Lobin, Hennig:''Computerlinguistik und Texttechnologie'' ISBN 978-3825232825
* Russel, Mathew: ''Mining the Social Web'' ISBN 978-1449367619
* Segaran, Toby'': Programming Collective Intelligence'' ISBN 978-0596529321

=== Python ===
This is a list of recommended books for the Python language: 


* Beazley, David: ''Python Cookbook'' ISBN 978-1449340377
* Blum, Richard: ''Python Programming for Raspberry Pi'' ISBN 978-0789752055
* Chan, Jamie: ''Learn Python in One Day and Learn it Well'' ISBN 978-1506094380
* Zelle, John: ''Python Programming: An Introduction to Computer Science'' ISBN 978-1590282410 ([http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.111.6062 online])

=== Further Reading ===
There are a couple of books in the Semesterapparat of [[Society of Networked Things]], that you might want to flip trough.

[[Category:SS15]]
[[Category:Werkmodul]]
[[Category:Fachmodul]]
[[Category:Martin Schneider]]
[[Category:Python]]
[[Category:Gestaltung]]
[[Category:Design]]
[[Category:Poetry]]
[[Category:Generative Gestaltung]]
[[Category:Robots]]