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  • 标题:A Cognitive Study of Sentiment Analysis Techniques and Tools: A Survey
  • 本地全文:下载
  • 作者:Upma Kumari ; Dinesh Soni ; Dr. Arvind K Sharma
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2017
  • 卷号:8
  • 期号:1
  • 页码:58-62
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:Sentiment analysis is a task of identifying positive and negative opinion, emotion and evaluation in text available over the social networking websites and the World Wide Web. The sentiment analysis has been gained quite popularity in the recent years. The analysis serves as an important feedback for further improvement in the offered services and user experiences. Several techniques have been utilised frequently including machine learning approaches and vocabulary oriented semantic algorithms. This paper presents a cognitive study of various techniques and tools which have been used in the sentiment analysis process.
  • 关键词:Sentiment Analysis;Machine Learning;Tools;Techniques
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