Sentiment analysis methods in Sentiment analysis methods in Persian text: A survey
نویسندگان
چکیده مقاله:
With the explosive growth of social media such as Twitter, reviews on e-commerce website, and comments on news websites, individuals and organizations are increasingly using opinions in these media for their decision making. Sentiment analysis is one of the techniques used to analyze userschr('39') opinions in recent years. Persian language has specific features and thereby requires unique methods and models to be adopted for sentiment analysis, which are different from those in English language. Sentiment analysis in each language has specified prerequisites; hence, the direct use of methods, tools, and resources developed for English language in Persian has its limitations. In this regard, the present study aims to investigate and compare previous sentiment analysis studies on Persian texts and describe views presented in articles published in the last decade. First, the levels, approaches, and tasks for sentiment analysis are described. Then a detailed survey of the applied sentiment analysis methods used for Persian texts is presented, and previous works in this field are discussed. Moreover, the publicly available sentiment analysis resources of Persian texts are studied. As a result, according to the recent development of sentiment analysis field, some issues and challenges not being addressed in Persian texts are listed, and some guidelines are provided for future research on Persian texts.
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عنوان ژورنال
دوره 19 شماره 2
صفحات 107- 132
تاریخ انتشار 2022-09
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