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  • 标题:Research Aids for Social Media Analytics
  • 本地全文:下载
  • 作者:Anita Kumari Singh ; Mogalla Shashi
  • 期刊名称:International Journal of Computer Science and Network
  • 印刷版ISSN:2277-5420
  • 出版年度:2017
  • 卷号:6
  • 期号:6
  • 页码:753-759
  • 出版社:IJCSN publisher
  • 摘要:Social media analytics helps us get simplified insights on data generated on various social media platforms by millions of people through variety of activities. The core of analytics is identifying the patterns and activities on these platforms so that social media professionals can make better social media strategies. This paper introduces the general approach to social media analytics, and then elaborates on the various phases of analytics. Essentially, identifying credible sources of mineable social media content is very important. The applications for collecting data are authenticated using OAuth and proceed for collecting the required contents suitable for the purpose of analytics using APIs and built-in language libraries. Data is pre-processed and data modeling techniques are applied to gain valuable insights. Presenting the results in simple understandable form using appropriate visualization techniques is again important to interpret the results.
  • 关键词:Social Media Analytics; open source tools;
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