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  • 标题:A Review: Prediction of Election Using Twitter Sentiment Analysis
  • 本地全文:下载
  • 作者:Pritee Salunkhe ; Avinash Surnar ; Sunil Sonawane
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2017
  • 卷号:6
  • 期号:5
  • 页码:723-725
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Twitter is a micro-blogging service that provides short messages on a daily basis for events, products, entity etc. Now a day's researchers dealing with utilizing Twitter to monitor people reactions in political activities like debates and campaigns. On the basis of that prediction an election can be made. Analysis of the prediction of election results using messages of either political parties or politician. The use of tweet content considered as a valid indicator of political sentiment. Sentiment analysis is used for analysis as well as predicting the emotions from the text patterns regarding political issues, products, entity, election etc. Sentiment analysis consists an analyzing texts to extract information. Basic sentiment analysis allows to determine or measuring the polarity (negative or positive) of sentiment.
  • 关键词:Ideological Learning; Opinion Mining; Sentiment Analysis; TwitterSphere.
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