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  • 标题:Sentimental Analysis For Complementary Aspect -Based Mining
  • 本地全文:下载
  • 作者:K.Srikanth ; Giribabu Sadineni
  • 期刊名称:Webology
  • 印刷版ISSN:1735-188X
  • 出版年度:2022
  • 卷号:19
  • 期号:3
  • 页码:491-513
  • 语种:English
  • 出版社:University of Tehran
  • 摘要:Sentimental Analysis is a way of systematically extracting the required information from different dimensions. Feature extracting or Aspect based mining explores opinions from various types of texts and ratings from social media and online shopping towards any subject or events. In extracting features, we proposed a new method using Opinion mining.
  • 关键词:Sentimental analysis;opinion Mining Aspect based mining
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