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文章基本信息

  • 标题:Survey on Intelligent Data Mining of Social Media for Better Decision Making
  • 本地全文:下载
  • 作者:Shaikh Ashfak ; Sonali Ransure ; Anup Bhosale
  • 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:2017
  • 卷号:6
  • 期号:10
  • 页码:19724
  • DOI:10.15680/IJIRSET.2017.0610099
  • 出版社:S&S Publications
  • 摘要:The advent of social media and the rapid development of mobile communication technologies havedramatically changed the way to express the feeling, attitude, mood, passion etc. People often express their reaction,fancies and predilections through social media by means of short texts of epigrammatic nature rather than writing longtext. Many social websites like Twitter, Google Review, Just Dial, Book my show, etc enables people to share anddiscuss their thoughts, opinion and view in the form of short text, which can be useful for other unknown peoples,customers and service users to decide whether that service or product is good or not. In this paper, whole process isdivided into two step. In first step through intelligent data mining data will be abstracted and in second step analysisframe work will be there, which will focuses on positive and negative opinion and through R-Programming thevisualization will be created will be helpful for peoples to make decision on their subject (i.e. on institute, services,products, movies, tourist spot etc). In visualization section it will contain graph, pictures, etc. Comparison parametercan also be implemented which will be again very much helpful for user and peoples.
  • 关键词:co-extracting algorithm; co-extracting model; opinion targets; Opinion Relation Graph; opinion words;Topical Word Trigger Model
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