Arabic Sentiment Analysis Resources: A Survey

被引：18
作者：
alOwisheq, Areeb [1 ]
alHumoud, Sarah [1 ]
alTwairesh, Nora [2 ]
alBuhairi, Tarfa [1 ]
机构：
[1] Al Imam Muhammad ibn Saud Islamic Univ, Dept Comp Sci, Riyadh, Saudi Arabia
[2] King Saud Univ, Dept Informat Technol, Riyadh, Saudi Arabia
来源：
SOCIAL COMPUTING AND SOCIAL MEDIA, SCSM 2016 | 2016年 / 9742卷
关键词：
Social networks; Sentiment analysis; Arabic; Lexicon; Corpus; LEXICON;
D O I：
10.1007/978-3-319-39910-2_25
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Research interest in Arabic sentiment analysis (ASA) is rapidly increasing, therefore it is important to compile, document and analyze efforts in this area to facilitate further development. These ASA efforts aim to create tools that can sift through and gain meaningful knowledge from the unending data explosion. ASA approaches have continued to evolve despite lack in Arabic linguistic resources. In this paper we conduct a comprehensive and up-to-date review of recent resources for ASA.
引用
收藏
页码：267 / 278
页数：12
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