GMU:The Hidden Layer:Topics

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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
Here are some of the things you can do with the model: [2]
Here is a bit of background information an an explanation how to train your own models: [3].

Fastword

Made by Facebbok based on word2vec. Better at capturing syntactic relations (like apparent ---> apparently) see here: [4] Pretrained model files are HUGE

GloVe

pre trained models