Rating Predictor: Sentiment Analysis of Product Reviews in Arabic

被引:0
作者
Harrage, Fouzi [1 ]
Alsalman, Abdulmalik [2 ]
Alqahtani, Alaa [2 ]
机构
[1] Farhat Abbas Univ, Comp Sci Dept, Setif, Algeria
[2] King Saud Univ, Comp Sci Dept, Riyadh, Saudi Arabia
来源
2018 INTERNATIONAL CONFERENCE ON ASIAN LANGUAGE PROCESSING (IALP) | 2018年
关键词
Sentiment Analysis; Arabic Textual Reviews; opinion mining; recommender systems; Rating Prediction;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Nowadays, as we know the Internet is overgrowing thus the textual information is also rising very fast. In the few recent years, Sentiment Analysis has attracted increasing interest. Sentiment analysis (also known as opinion mining) is the process of determining the attitude of textual opinions whether they are positive, negative or neutral. In addition, recommender system is one of the hot topics in the field of big data, especially with the development and growth of the World Wide Web. This research aims to combine these two fields, by developing a solution that can predict rating of products that consider the sentiment of these products reviews. This research focuses mainly on Arabic reviews, where Arabic sentiment analysis has just flourished, and there are several problems and gaps not solved yet.
引用
收藏
页码:44 / 49
页数:6
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