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  • 标题:Sentiment Analysis using Maximum Entropy Algorithm in Big Data
  • 本地全文:下载
  • 作者:Durgesh Patel ; Sakshi Saxena ; Toran Verma
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2016
  • 卷号:5
  • 期号:5
  • 页码:8355
  • DOI:10.15680/IJIRSET.2016.0505246
  • 出版社:S&S Publications
  • 摘要:As years are passing people are getting more and more attracted towards Social Media Sites and theyhad started attaching there life with these electronic gadgets. As this things are happening the data being created andshared by millions of people that is increasing per second and these data are not easy to store and manage. As we knowthat everything in this world has some meaning full existence in this world in that similar way this Big data can alsobe used for some application and for that the analysis done is called Sentiment Analysis. But Analyzing this largedataset is not so easy , and same way Sentiment Analysis is lacking for Negation Statement case. This problem isreducing the accuracy of Sentiment Analysis which can be verified easily with the proposed methodology in this paper.
  • 关键词:Negation; Sentiment Analysis; Big data
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