A review of sentiment analysis research in Arabic language

• URL: http://arxiv.org/abs/2005.12240v1
• Date: Mon, 25 May 2020 17:26:02 GMT
• Title: A review of sentiment analysis research in Arabic language
• Authors: Oumaima Oueslati, Erik Cambria, Moez Ben HajHmida, and Habib Ounelli
• Abstract summary: Although Arabic is ramping up as one of the most used languages on the Internet, only a few studies have focused on Arabic sentiment analysis so far. In particular, we survey both approaches that leverage machine translation or transfer learning to adapt English resources to Arabic and approaches that stem directly from the Arabic language.
• Score: 10.145290968117402
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Sentiment analysis is a task of natural language processing which has recently attracted increasing attention. However, sentiment analysis research has mainly been carried out for the English language. Although Arabic is ramping up as one of the most used languages on the Internet, only a few studies have focused on Arabic sentiment analysis so far. In this paper, we carry out an in-depth qualitative study of the most important research works in this context by presenting limits and strengths of existing approaches. In particular, we survey both approaches that leverage machine translation or transfer learning to adapt English resources to Arabic and approaches that stem directly from the Arabic language.

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