Sentiment analysis for Arabic language: A brief survey of approaches and techniques
September 08, 2018 ยท The Cartographer ยท ๐ International Journal of Advanced Science and Technology
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"Title-pattern auto-detect: Sentiment analysis for Arabic language: A brief survey of approaches and techniques"
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Authors
Mo'ath Alrefai, Hossam Faris, Ibrahim Aljarah
arXiv ID
1809.02782
Category
cs.CL: Computation & Language
Citations
21
Venue
International Journal of Advanced Science and Technology
Last Checked
2 days ago
Abstract
With the emergence of Web 2.0 technology and the expansion of on-line social networks, current Internet users have the ability to add their reviews, ratings and opinions on social media and on commercial and news web sites. Sentiment analysis aims to classify these reviews reviews in an automatic way. In the literature, there are numerous approaches proposed for automatic sentiment analysis for different language contexts. Each language has its own properties that makes the sentiment analysis more challenging. In this regard, this work presents a comprehensive survey of existing Arabic sentiment analysis studies, and covers the various approaches and techniques proposed in the literature. Moreover, we highlight the main difficulties and challenges of Arabic sentiment analysis, and the proposed techniques in literature to overcome these barriers.
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