{"title":"A Survey of the Applications of Sentiment Analysis","authors":"Pingping Lin, Xudong Luo","volume":166,"journal":"International Journal of Computer and Information Engineering","pagesStart":334,"pagesEnd":347,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10011530","abstract":"Natural language often conveys emotions of speakers.<br \/>\r\nTherefore, sentiment analysis on what people say is prevalent in the<br \/>\r\nfield of natural language process and has great application value<br \/>\r\nin many practical problems. Thus, to help people understand its<br \/>\r\napplication value, in this paper, we survey various applications of<br \/>\r\nsentiment analysis, including the ones in online business and offline<br \/>\r\nbusiness as well as other types of its applications. In particular,<br \/>\r\nwe give some application examples in intelligent customer service<br \/>\r\nsystems in China. Besides, we compare the applications of sentiment<br \/>\r\nanalysis on Twitter, Weibo, Taobao and Facebook, and discuss<br \/>\r\nsome challenges. Finally, we point out the challenges faced in the<br \/>\r\napplications of sentiment analysis and the work that is worth being<br \/>\r\nstudied in the future.","references":"[1] M.M. Ag\u00a8uero-Torales, M.J. Cobo, E. Herrera-Viedma, and A.G.\r\nL\u00b4opez-Herrera. A cloud-based tool for sentiment analysis in reviews\r\nabout restaurants on tripadvisor. Procedia Computer Science, pages\r\n392\u2013399, 2019. [2] Al-Amin, M.A. Islam, S. Halder, M.A. Uddin, and U.K. Acharjee.\r\nAn efficient sentiment mining approach on social media networks. In\r\nProceedings of the 2019 Emerging Technologies in Data Mining and\r\nInformation Security, volume 814, pages 451\u2013461, 2019.\r\n[3] M. Al-Smadi, M. Al-Ayyoub, and Y. Jararweh. 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