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文章基本信息

  • 标题:ARCHITECTURE OF A SENTIMENT ANALYSIS PLATFORM
  • 本地全文:下载
  • 作者:CRISTIAN BUCUR ; CRISTIAN BUCUR
  • 期刊名称:Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie
  • 印刷版ISSN:1844-7007
  • 出版年度:2015
  • 期号:3
  • 页码:154-159
  • 语种:English
  • 出版社:Academica Brâncuşi
  • 摘要:A new domain of research evolved in the last decade,called sentiment analysis that tries to extract knowledge from opinionated text documents.The article presents an overview of the domain and present an architecture of a system that could perform sentiment analysis processes.Based on previous researches are presented two methods for performing classification and the results obtained.
  • 关键词:sentiment analysis;opinion mining;supervised machine learning;unsupervised algorithms
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