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Sentiment Analysis on Arabic Tweets: Challenges to Dissecting the Language

机译:阿拉伯语推文的情感分析:剖析语言的挑战

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Sentiment analysis and opinion mining are designed to detect peoples' emotions and opinions. Many public and private sectors are interested in extracting information regarding opinions that consist of subjective expressions across a variety of products or political decisions. Recently, the Arab region has had a significant role in international politics and the global economy that has grasped the attention of political and social scientists. Detecting Arabic tweets will be helpful for politicians in predicting global events based on the popular news and people's comments. Still, the Arabic language has not received a proper attention from modern computational linguists. This literature review provides a comprehensive study of sentiment analysis on Twitter data and analyzes the existing work that has been done in order to detect and analyze Arabic tweets.
机译:情感分析和意见采矿旨在探测人民的情感和意见。许多公共和私营部门有兴趣提取有关各种产品或政治决策的主观表达的意见的信息。最近,阿拉伯地区在国际政治和全球经济中发挥了重要作用,抓住了政治和社会科学家的注意。检测阿拉伯语推文将有助于基于流行新闻和人民评论预测全球活动的政治家。尽管如此,阿拉伯语还没有得到现代计算语言学家的适当关注。该文献综述对Twitter数据的情感分析进行了全面的研究,并分析了用于检测和分析阿拉伯语推文所做的现有工作。

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