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  • 标题:Sentiment Analyzer using Punjabi Language
  • 本地全文:下载
  • 作者:ANU SHARMA
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2014
  • 卷号:2
  • 期号:9
  • 出版社:S&S Publications
  • 摘要:Textual Information in the “Social Media World” can be broadly categorized into two main types: Factsand Opinions. Opinions are usually subjective expressions that describe people sentiments, feelings towards entities,events and their properties. Sentiment analysis tracks the mood of the speaker or writer about a particular product orentity. In this paper, an approach is proposed for automatically extracting the movie reviews in Punjabi language fromweb pages, by using basic NLP technique like N-gram (Unigram, Bigram). The System divides the movie reviews intwo categories: Positive and Negative. The System provides an accuracy of 75% on multi-category dataset
  • 关键词:Sentiment Analysis; Sentiment Analyzer (SA); Opinion Mining; Natural Language Processing (NLP);Naive- Bayes; N-gram
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