/Representation-Learning-for-NLP

Primary LanguageJupyter NotebookMIT LicenseMIT

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"