Representation-Learning-for-NLP

Repo for Representation-Learning

It has 4 modules:

1. Introduction
   • BagOfWords model
   • N-Gram model
   • TF_IDF model
2. Word-Vectors
   • BiGram model
   • SkipGram model
   • CBOW model
   • GloVe model
   • tSNE
3. Document Vectors
   • DBOW model
   • DM model
   • Skip-Thoughts
4. Character Vectors
   • One-hot model
   • skip-gram based character model
   • Tweet2Vec
   • CharCNN (giving some bugs)

Slides : https://www.slideshare.net/anujgupta5095/representation-learning-of-text-for-nlp

password for the virtual machine associated with the repo : "password"