Multi-class sentiment classification: The experimental comparisons of feature selection and machine learning algorithms

Yang Liu; Jian-Wu Bi; Zhi‐Ping Fan

doi:10.1016/j.eswa.2017.03.042

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JOURNAL ARTICLE

Multi-class sentiment classification: The experimental comparisons of feature selection and machine learning algorithms

Yang Liu Jian-Wu Bi Zhi‐Ping Fan

Year: 2017 Journal: Expert Systems with Applications Vol: 80 Pages: 323-339 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2017.03.042

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Keywords:

Artificial intelligence Computer science Machine learning Feature selection Naive Bayes classifier Support vector machine Algorithm Linear classifier One-class classification Statistical classification Information gain ratio Feature (linguistics) Classifier (UML) Decision tree k-nearest neighbors algorithm Sentiment analysis Pattern recognition (psychology)

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203

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20.86

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0.99

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Is in top 1%

Is in top 10%

Citation History

Topics

Sentiment Analysis and Opinion Mining

Physical Sciences → Computer Science → Artificial Intelligence

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Spam and Phishing Detection

Physical Sciences → Computer Science → Information Systems

Multi-class sentiment classification: The experimental comparisons of feature selection and machine learning algorithms

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Citation History

Topics

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