Arabic Aspect-Based Sentiment Analysis: A Systematic Literature Review

IEEE Access

Esra Alzaghoul¹  Ruba Obiedat¹  Osama Harfoushi¹  Duha Al-Darras² 

[1] King Abdullah II School for Information Technology, The University of Jordan, Amman, Jordan;Software Engineering Department, Bethlehem University, Bethlehem, Palestine;

关键词: Arabic sentiment analysis;    aspect-based sentiment analysis;    feature-based sentiment analysis;    multi-aspect sentiment analysis;    sentiment analysis;   

DOI  :  10.1109/ACCESS.2021.3127140

来源: DOAJ

【 摘 要 】

Recently sentiment analysis in Arabic has attracted much attention from researchers. A modest number of studies have been conducted on Arabic sentiment analysis. However, due to the vast increase in users’ comments and reviews on social media and e-commerce websites, the necessity to detect sentence-level and aspect-level sentiments has also increased. The aspect-based sentiment analysis has emerged to detect sentiments at the aspect level. Few studies have attempted to perform aspect-based sentiment analysis on Arabic texts because Arabic natural language processing is a challenging task and because of the lack of available Arabic annotated corpora. In this paper, we conducted a systematic review of the methods, techniques, and datasets employed in aspect-based sentiment analysis on Arabic texts. A total of 21 articles published between 2015–2021 were included in this review. After analysing these articles, we found a lack of annotated datasets that can be used by researchers. In addition, the used datasets were limited to few fields. This review will serve as a foundation for researchers interested in Aspect-Based Sentiment Analysis, it will assist them in developing new models and techniques to tackle this task in the future.

【 授权许可】

Unknown