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Sentiment Analysis of Arabic Tweets in Smart Cities: A Review of Saudi Dialect

机译:智能城市阿拉伯语推文的情感分析:沙特方言述评

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Social media including Twitter have transformed our societies and has become an important pulse of smart societies by sensing the information about the people and their experiences across space and time around the living spaces. This has allowed connecting with people, sensing their feelings and behaviors, and measuring the performance of various city systems such as healthcare and transport. The sentiment analysis of social media is a key step in this process. As of January 2019, Saudi Arabia had the fourth highest number of Twitter users in the world, after the US, Japan, and the UK. However, the works done on sentiment analysis in the Arabic language are limited in their scope and depth. Moreover, little is available in the literature on sentiment analysis in the Arabic and Saudi dialects. This paper aims to provide a resource on the sentiment analysis in the Arabic and Saudi dialects. It reviews the relevant tools and techniques considering their accuracy. We hope that this paper will be a useful guide for the researchers who are interested in the sentiment analysis of the Arabic and the Saudi dialects.
机译:包括Twitter在内的社交媒体改变了我们的社会,通过在生活空间周围的空间和时间横跨空间和时间的信息,成为聪明的社会的重要脉搏。这使得与人们联系,感知他们的感受和行为,并测量各种城市系统的性能,如医疗保健和运输。社交媒体的情感分析是这个过程的关键步骤。截至2019年1月,沙特阿拉伯在美国,日本和英国之后拥有世界上的第四位推特用户。然而,在阿拉伯语语言中对情感分析的作品在其范围和深度的限制。此外,在阿拉伯语和沙特方言中的情感分析中的文献中很少有效。本文旨在为阿拉伯语和沙特方言中的情感分析提供资源。它审查了考虑到其准确性的相关工具和技术。我们希望本文对对阿拉伯语和沙特方言感兴趣的研究人员来说是一个有用的指南。

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