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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 stemming, stop words, punctuation removal, tokenization and finally training the model using Neural Networks having convolutional layers.

Python 100.00%
1d-convolution neural-network nlp-machine-learning stopwordsbengali

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