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  • 标题:Sentiment Analysis Based on Data Mining and Natural Language Processing
  • 本地全文:下载
  • 作者:Deepak Kumar Yadav ; Sampada Vishwas Massey
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2015
  • 卷号:4
  • 期号:11
  • 页码:4116-4120
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Sentiment analysis refers to a text classification that analyzes the text which are oriented from opinions called opinion mining. Sentiments can be determining on different types of levels. For instance, human sentiments can be positive, negative Natural language processing (NLP) is the ability of a computer program to understand human speech as it is spoken. Now day’s users use internet to share their suggestions, reviews which help the other user in making decision. In this paper we have used porter stemming algorithm for removal of stop words and a parser named Stanford for the grammatical structure and the KNN algorithm
  • 关键词:computational linguistics; Data Mining; Natural language processing; analysis; twitter social media.
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