GitHub - imran789924/Bengali_news_classification: Bengali Newses are classified in six catagories. This is done by first extracting the semantics of Bengali words using word2vec. Then using those semantics, all the news are classified. Bengali NLP resources are not very rich compared to other languages. This is a complete project that includes Bengali word embedding, data cleaning using word stemming, stop words, punctuation removal, tokenization and finally training the model using Neural Networks having convolutional layers.

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Bengali Newses are classified in six catagories. This is done by first extracting the semantics of Bengali words using word2vec. Then using those semantics, all the news are classified. Bengali NLP resources are not very rich compared to other languages. This is a complete project that includes Bengali word embedding, data cleaning using word st…

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Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
__pycache__		__pycache__
archive		archive
.gitattributes		.gitattributes
Classification_pretrained_word2vec_bengali.py		Classification_pretrained_word2vec_bengali.py
Clean_dataset.py		Clean_dataset.py
corpus.txt		corpus.txt
embedding_word2vec.txt		embedding_word2vec.txt
model_body.pkl		model_body.pkl
model_head.pkl		model_head.pkl
stopwords.py		stopwords.py
trained_model.h5		trained_model.h5
vocab_bangla.txt		vocab_bangla.txt