Feature Selection for Text Classification Using Machine Learning Approaches

K. Thirumoorthy; K. Muneeswaran

doi:10.1007/s40009-021-01043-0

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JOURNAL ARTICLE

Feature Selection for Text Classification Using Machine Learning Approaches

K. Thirumoorthy K. Muneeswaran

Year: 2021 Journal: National Academy Science Letters Vol: 45 (1)Pages: 51-56 Publisher: Springer Science+Business Media

DOI: 10.1007/s40009-021-01043-0

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Keywords:

Feature selection Naive Bayes classifier Computer science Artificial intelligence Support vector machine Classifier (UML) Linear classifier Feature vector Feature (linguistics) Machine learning Pattern recognition (psychology) Benchmark (surveying) tf–idf Data mining The Internet Document classification Feature extraction Term (time)

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6.40

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0.96

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Topics

Spam and Phishing Detection

Physical Sciences → Computer Science → Information Systems

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Sentiment Analysis and Opinion Mining

Physical Sciences → Computer Science → Artificial Intelligence

Feature Selection for Text Classification Using Machine Learning Approaches

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