I would like to add Class of Word Embeddings based on Gensim's word2vec model.

Some Information

• A word embedding is a learned representation for text where words that have the same meaning have a similar representation
• Word2vec is an algorithm which produces word embeddings

Class Description

users will be able to:

• easily train word2vec model on their corpora by just creating a folder with txt documents
• save trained model and load existing one
• make some manipulations and visualizations on trained word embeddings: word similarities, word analogies, detecting closest words and etc