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Multinomial Naive Bayes: Learning

  • From training corpus, extract Vocabulary
  • Calculate required P(cj) and P(xk | cj) terms
    • For each cj in C do
      • docsj ← subset of documents for which the target class is cj
      • Textj ← single document containing all docsj
        • for each word xk in Vocabulary
        • nk ← number of occurrences of xk in Textj

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