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  • 标题:An Study and Analysis of Opinion Mining and Sentiment analysis
  • 本地全文:下载
  • 作者:Akshata Shirish Nayak ; Roshan Fernandes
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2014
  • 卷号:3
  • 期号:12
  • 页码:4312-4315
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:The outbursts of social media has created millions of opportunities for people or web users to state or express their opinions, but it is a challenging task when it comes to bringing out the meaning or some sense from the opinions. Opinion mining is an natural language processing for finding or knowing the viewpoint of the people or user about a particular topic under discussion or products. Opinion mining involves forming of a system to extract and analyze the view point or stand of different users about the product made on social media and review sites like blogs, comments, tweets or reviews. Opinion mining can be employed in many ways depending on domain or user interests in different fields for different purpose, due to which analyzing the opinions has become very essential.
  • 关键词:Opinion mining; Natural language processing; ; Knowledge extraction
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