LGOct 16, 2014
Naive Bayes and Text Classification I - Introduction and Theory
arXiv:1410.5329v4181 citations
Originality Synthesis-oriented
AI Analysis
It provides an introductory overview of naive Bayes for document categorization, which is incremental as it builds on existing theory without new results.
The paper introduces naive Bayes classifiers, which apply Bayes' theorem to create simple models, focusing on their use in document classification.
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.