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  • 标题:Proposed Algorithm of Sentiment Analysis for Punjabi Text
  • 本地全文:下载
  • 作者:Kaur, Amandeep ; Gupta, Vishal
  • 期刊名称:Journal of Emerging Technologies in Web Intelligence
  • 印刷版ISSN:1798-0461
  • 出版年度:2014
  • 卷号:6
  • 期号:2
  • 页码:180-183
  • DOI:10.4304/jetwi.6.2.180-183
  • 语种:English
  • 出版社:Academy Publisher
  • 摘要:Sentiment Analysis is to identify and classify the opinions/emotions/sentiments in written text. Till date, English Language includes most of the research work in this area. In this paper, we discussed the various approaches used to accomplish the sentiment analysis and research work done for Indian Languages like Hindi, Bengali and Telugu. We proposed an algorithm by using subjective lexicon which is created by using Hindi Subjective Lexicon. Our approach proves good performance on the testing data. We compared the results with already existing approaches.
  • 关键词:Sentiment Analysis;Punjabi Language;Subjective Lexicon.
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