Using Word N-Grams as Features in Arabic Text Classification

Abdulmohsen Al-Thubaity; Muneera Alhoshan; Itisam Hazzaa

doi:10.1007/978-3-319-10389-1_3

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Using Word N-Grams as Features in Arabic Text Classification

Abdulmohsen Al-Thubaity Muneera Alhoshan Itisam Hazzaa

Year: 2014 Studies in computational intelligence Pages: 35-43 Publisher: Springer Nature

DOI: 10.1007/978-3-319-10389-1_3

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Keywords:

Word (group theory) Artificial intelligence Support vector machine Naive Bayes classifier Computer science Pattern recognition (psychology) Character (mathematics) Feature (linguistics) Natural language processing Mathematics Linguistics

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Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Text Analysis Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Spam and Phishing Detection

Physical Sciences → Computer Science → Information Systems

Using Word N-Grams as Features in Arabic Text Classification

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