Text classification Blog Link

Document classification

        a. Feature extraction
                (i)TF-IDF
                (ii) word embeddings using doc2vec
        b. Classification
                (i) Logistic Regression
                (ii) Naive Bayes (Multinomial and gauusian)

Token classification :TODO

Data

Reuters News data

Cleaned Reuters data

Results

Document Classification

Token Classification :TODO

Model Links

Doc2Vec self trained model

Contributing

1. Fork it!
2. Create your feature branch: git checkout -b my-new-feature
3. Commit your changes: git commit -am 'Add some feature'
4. Push to the branch: git push origin my-new-feature
5. Submit a pull request :D