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arxiv:1410.5329

Naive Bayes and Text Classification I - Introduction and Theory

Published on Feb 14, 2017
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Abstract

Naive Bayes classifiers, grounded in Bayes' probability theorem, create effective models for document categorization and disease prediction through simple yet robust probabilistic approaches.

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Naive Bayes classifiers, a family of classifiers that are based on the popular Bayes' probability theorem, are known for creating simple yet well performing models, especially in the fields of document classification and disease prediction. In this article, we will look at the main concepts of naive Bayes classification in the context of document categorization.

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