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Using Multinomial Naive Bayes Classifiers to Classify Text: Basic method

  • Attributes are text positions, values are words.

  • Still too many possibilities

  • Assume that classification is independent of the positions of the words

  • Use same parameters for each position

  • Result is bag of words model (over tokens not types)

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