Deep feature weighting for naive Bayes and its application to text classification

Liangxiao Jiang; Chaoqun Li; Shasha Wang; Lungan Zhang

doi:10.1016/j.engappai.2016.02.002

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JOURNAL ARTICLE

Deep feature weighting for naive Bayes and its application to text classification

Liangxiao Jiang Chaoqun Li Shasha Wang Lungan Zhang

Year: 2016 Journal: Engineering Applications of Artificial Intelligence Vol: 52 Pages: 26-39 Publisher: Elsevier BV

DOI: 10.1016/j.engappai.2016.02.002

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Keywords:

Naive Bayes classifier Feature (linguistics) Weighting Computer science Artificial intelligence Bayes error rate Bayes' theorem Machine learning Benchmark (surveying) Pattern recognition (psychology) Conditional independence Data mining Bayes classifier Bayesian probability Support vector machine

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Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Rough Sets and Fuzzy Logic

Physical Sciences → Computer Science → Computational Theory and Mathematics

Data Mining Algorithms and Applications

Physical Sciences → Computer Science → Information Systems

Deep feature weighting for naive Bayes and its application to text classification

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