A Comparative Study of Feature Selection and Machine Learning Algorithms for Arabic Sentiment Classification

Nazlia Omar; Mohammed Albared; Tareq Al-Moslmi; Adel Al-Shabi

doi:10.1007/978-3-319-12844-3_37

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A Comparative Study of Feature Selection and Machine Learning Algorithms for Arabic Sentiment Classification

Nazlia Omar Mohammed Albared Tareq Al-Moslmi Adel Al-Shabi

Year: 2014 Lecture notes in computer science Pages: 429-443 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-12844-3_37

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Keywords:

Computer science Arabic Feature selection Artificial intelligence Selection (genetic algorithm) Feature (linguistics) Machine learning Sentiment analysis Natural language processing Algorithm Pattern recognition (psychology) Linguistics

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3.23

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0.92

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Citation History

Topics

Sentiment Analysis and Opinion Mining

Physical Sciences → Computer Science → Artificial Intelligence

Spam and Phishing Detection

Physical Sciences → Computer Science → Information Systems

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

A Comparative Study of Feature Selection and Machine Learning Algorithms for Arabic Sentiment Classification

Metrics

Citation History

Topics

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