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  • 标题:Public Sentiment Interpretation On Twitter - A Survey
  • 本地全文:下载
  • 作者:R.Urega ; Dr.M.Devapriya
  • 期刊名称:International Journal of Engineering and Computer Science
  • 印刷版ISSN:2319-7242
  • 出版年度:2015
  • 卷号:4
  • 期号:8
  • 页码:13910-13916
  • DOI:10.18535/ijecs/v4i8.52
  • 出版社:IJECS
  • 摘要:Opinion mining and sentiment analysis is the significant key field of Natural Language Processing. Numberof users shared their thoughts and opinions on micro blog services. Social networks serve as the source ofvaluable platform for tracking and analyzing public sentiment of different people about differentdomains/products. Twitter is one of the most popular social sites where the millions of users share theiropinions. Public sentiment analysis is a process to identify positive and negative opinions, emotions andevaluations in text. This paper reviewed and analysed number of techniques for public sentiments analysisand its classification.
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