2019
DOI: 10.1504/ijista.2019.10018948
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Combining RSS-SVM with genetic algorithm for Arabic opinions analysis

Abstract: Due to the large-scale users of the Arabic language, researchers are drawn to the Arabic sentiment analysis and precisely the classification areas. Thus, the most accurate classification technique used in this area is the support vector machine (SVM) classifier. This last, is able to increase the rates in opinion mining but with use of very small number of features. Hence, reducing feature's vector can alternate the system performance by deleting some pertinent ones. To overcome these two constraints, our idea… Show more

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Cited by 2 publications
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