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文章基本信息

  • 标题:Literature Survey on Design and Implementation of Processing Model for Polarity Identification on Textual Data of English Language
  • 本地全文:下载
  • 作者:Aparna Trivedi ; Ingita Singh ; Apurva Srivastava
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2011
  • 卷号:8
  • 期号:6
  • 出版社:IJCSI Press
  • 摘要:This literature work is a survey about Sentiment Analysis of textual data of English language and some of its previous works. Basically sentiment analysis identifies the view point or opinion of a text. For example, classifying a movie review as "Thumbs up" or "Thumbs down". Several public opinion surveys from multiple polling organization and peoples aggregate opinion on a topic can be assessed. This survey includes previous works which show how this technique has evolved over the past one and a half decade expanding its horizon and reaching out to almost all areas such as reviews of products, movies etc., travel advice, stock market predictions and in other decision making areas.
  • 关键词:Opinion Mining; Sentiment Analysis; Polarity Identification.
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