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  • 标题:Opinion Mining in Twitter: How to make use of Sarcasm to Enhance Sentiment Analysis: A Review
  • 本地全文:下载
  • 作者:Sana Parveen ; 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:6
  • 页码:863-865
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:NLP is processing linguistic data to get its features or to better understand the human languages. It mainly involves Processing of big natural language corpora by computer to get a desired output as information from the corpora. In opinion mining, we determine mood of Author from the text about a particular topic or product. It is also called Sentiment analysis and its task involves building a system that categorizes the text data. The Free Dictionary1 defines sarcasm as a form of verbal irony that is intended to express contempt or ridicule. This paper states the work that is done identifying sarcasm in the twits to improve the opinion mining in twitter data.
  • 关键词:Feature extraction; Opinion Mining; Pattern classification; Sarcasm.
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