WordVectors

A word vector model for word embedding. The methods are based on Gensim Word2Vec implementation. Put your files(in .txt format) in data folder and run createWordVectorModel. Your model will be saved in trained folder.

Requirments:

1. Re (Regular Expression)
2. Gensim
3. Sklearn
4. Matplotlib
5. Pandas
6. Numpy
7. Seaborn
8. nltk
9. ipython notebook

References: Siraj Raval deep learning videos