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A study of the effects of preprocessing strategies on sentiment analysis for Arabic text
2014
Journal of information science
Sentiment analysis has drawn a considerable interest among researchers due to the realization of its fascinating commercial and business benefits. This paper deals with sentiments analysis in Arabic text from three perspectives. Firstly, several alternatives of text representation were investigated. In particular, the effects of stemming, feature correlation, and n-gram models for Arabic text on sentiment analysis were investigated. Secondly, the behavior of three classifiers, namely, SVM,
doi:10.1177/0165551514534143
fatcat:zcj66yfyd5a5lfyoa3jy6g3bui