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This a Python implementation of Naive Bayes classifier for classifying(labeling) articles in certain categories

Each text as modelled as a Markov chain (MM-0), considering sentences as states (S) The sentences were modelled using Markov chains (MM-0 and MM-1)

Unfortunately the proper dataset is missing in this version

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Python implementation of Naive Bayes classifier for classifying articles in certain categories

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