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文章基本信息

  • 标题:Unsupervised Opinion Mining From Text Reviews Using SentiWordNet
  • 本地全文:下载
  • 作者:Vibha Soni ; Meenakshi R Patel
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2014
  • 卷号:11
  • 期号:5
  • 页码:234-238
  • DOI:10.14445/22312803/IJCTT-V11P150
  • 出版社:Seventh Sense Research Group
  • 摘要:Opinion mining is a discipline or area of text classification which continues gives contribution in research field. Sentiment analysis is one another name of Opinion mining. Opinion Mining analyse and classify the user generated data like reviews, blogs, comments, articles etc. Nowadays every people use web services and gives their opinions about every field, domain or peoples. The main objective of Opinion mining is Sentiment Classification i.e. to classify the opinion into positive or negative classes. There are basically two approaches first machine learning Or Supervised learning techniques and other unsupervised learning techniques. In this paper an unsupervised lexicon technique is used for Sentiment Classification.
  • 关键词:Opinion Mining; Sentiment Classification; Sentiment Analysis; SentiWordNet; Lexicon; Sentiment Polarity.
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