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  • 标题:Tweet Sarcasm: Mechanism of Sarcasm Detection in Twitter
  • 本地全文:下载
  • 作者:Komalpreet Kaur Bindra ; Ankita Gupta
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2016
  • 卷号:7
  • 期号:1
  • 页码:215-217
  • 出版社:TechScience Publications
  • 摘要:The www is growing at an alarming rate . Users havestarted participating actively on Internet by giving theiropinions on products, services and blogs. Study and analysis ofsuch opinions is known as Opinion Mining. But sometimes usersprefer being sarcastic. Sarcasm is a linguistic phenomenon inwhich people state the opposite of what they actually mean.Sarcasm Detection is a challenging task, even for humans. It is apart of Opinion Mining which is studied so that differentsentiments can be analyzed and worked upon. In this paper, theoverall mechanism of sarcasm detection is seen, which is rootedon the data from Twitter, a popular micro blogging service.
  • 关键词:hashtags; linguistics; opinion mining; sarcasm;detection; tweets
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