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  • 标题:User Classification in Twitter Based On Sentiment Analysis on User Tweets
  • 本地全文:下载
  • 作者:Aarabhi babu ; Dr Vince Paul
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2017
  • 卷号:6
  • 期号:5
  • 页码:9270
  • DOI:10.15680/IJIRSET.2017.0605130
  • 出版社:S&S Publications
  • 摘要:This work user classification in twitter deals with classification of the twitter users based on their tweetstill dated. Each tweets and re tweets of each users are taken and sentiment analysis is performed .By aggregating thesentiment score of whole tweets of the user his total user score is calculated based on the user score users are classifiedinto different groups like highly positive neutral positive highly negative neutral negative .users who came undernegative side will be warned first about their negative behavior and if they continue they will be blocked
  • 关键词:Tweets; Sentiment Analysis; user classification
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