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Title

Capturing Negation scope using Base Phrase Chunk in Arabic Sentiment Classification

Author

Saud S. Alotaibi

Citation

Vol. 22  No. 4  pp. 809-816

Abstract

One of the sentiment analysis challenges in the Arabic language is the exploration of the effect of negation. Most of the previous works in Arabic sentiment analysis neither include the negation concept in sentiment analysis nor clarify the negation words list that they rely on. This paper shows the ongoing work to add negation to Arabic sentiment analysis. Different types of methods to deal with the negation in the sentiment analysis in Arabic are proposed. Our proposed method that relies on the shallow parse tree achieves the best result in dealing with negation. In addition, the experiments and evaluations that were conducted in this work show that including the negation in the sentiment analysis for Arabic improves the performance of the classifier.

Keywords

Sentiment Classification, Negation scope, Arabic Natural Language Processing, Arabic Sentiment Sentence Classification, Machine Learning.

URL

http://paper.ijcsns.org/07_book/202204/20220497.pdf