General Information on word embeddings

For a general explanation look here: [1]


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].


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

Pretrained model files are HUGE


pre trained models