(Word embeddings)
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Made by Google, uses Neural Net, performs good on semantics.
 
Made by Google, uses Neural Net, performs good on semantics.
 
=== Installation + getting started: ===
 
=== Installation + getting started: ===
pip install gensim
+
<code>pip install gensim</code>
  
 
==Fastword==
 
==Fastword==

Revision as of 09:55, 8 May 2017

General Information on word embeddings

For a general explanation look here: [1]

Word2vec

Made by Google, uses Neural Net, performs good on semantics.

Installation + getting started:

pip install gensim

Fastword

Made by Facebbok based on word2vec. Better at capturing syntactic relations (like apparent ---> apparently) see here: [2] Pretrained model files are HUGE

GloVe

pre trained models