Twitter Feature Selection and Classification Using Support Vector Machine for Aspect-Based Sentiment Analysis

Nurulhuda Zainuddin; Ali Selamat; Roliana Ibrahim

doi:10.1007/978-3-319-42007-3_23

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Twitter Feature Selection and Classification Using Support Vector Machine for Aspect-Based Sentiment Analysis

Nurulhuda Zainuddin Ali Selamat Roliana Ibrahim

Year: 2016 Lecture notes in computer science Pages: 269-279 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-42007-3_23

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Keywords:

Computer science Feature selection Sentiment analysis Artificial intelligence Support vector machine Lexicon Principal component analysis Classifier (UML) Benchmark (surveying) Pattern recognition (psychology) Machine learning Selection (genetic algorithm) Feature (linguistics) Data mining

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2.01

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0.87

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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

Twitter Feature Selection and Classification Using Support Vector Machine for Aspect-Based Sentiment Analysis

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Citation History

Topics

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