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Hindi News Categorization and Summarization

Important files:

  1. cnn/train.py : To train CNN
  2. cnn/eval.py : Evaluate model
  3. nb_classifier.py : Naive Bayes classifier
  4. data_preprocessor.py : Pre process data
  5. data_tfidf.py : Calculate TF-IDF scores and find important words.
  6. nbt_body_extracter.py : Clean and Extract plain text content from Navbharattimes News Archieve.
  7. crawler.py : To download News Articles and extract required data like title, body, category, etc. (Customized for Navbharattimes)
  8. Summarization/tensorflow-glove/hindi-glove.py : Find glove embeddings
  9. Summarization/scr/train.py : Train RNN
  10. Summarization/src/predict.py : Evaluate model on BLEU score

Python version: Python 3

Python packages:

  1. Tensor flow 1.0
  2. sklearn (Scipy 0.18)
  3. numpy 1.12
  4. BeautifulSoup 4
  5. requests 2.13
  6. scipy
  7. keras 1.2.2
  8. Theano
  9. Levenshtein
  10. h5py
  11. nltk
  12. pandas
  13. seaborn
  14. matplotlib
  15. tqdm

hncs's People

Contributors

sharvilkadam avatar

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