/Document-Classification-ML

Classify different variety of documents/text files using all various word embedding techniques

Primary LanguageJupyter Notebook

Document-Classification-ML

This repo will give you over all understanding of Document / text classifications using different types of word Embedding techinques.

  1. Frequency based - Count Vectorizer,TF-IDF
  2. Prediction based - CBOW, skip-gram, pre built models (Glove,Gensim), Word2vec, Doc2Vec. (Under development)
  3. Advanced Techniques - CNN,RNN (Under Development)