Papers
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.
AI-generated summary
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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