28Jun 2017

CHARACTERISING USER DEMOGRAPHICS ACROSS SOCIAL NETWORK.

  • Research Scholar,YMCAUST, Faridabad.
  • Assistant professor, CE, YMCAUST, Faridabad.
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Analysis of the social media platform like Facebook & Twitter reveals a huge amount of information through user generated profile and comments. With the growing popularity of social media (Twitter), social network remains the largest as well as the most popular network. With registration of new users, tweets, news article, a user uploads their personal information or article and give his/her views about the some article. It contains huge amount of information about the user demographics, views about the video or article. This paper proposes a classification method for defining user behaviour by mining the user generated texts.

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[Charu Virmani and Anuradha Pillai. (2017); CHARACTERISING USER DEMOGRAPHICS ACROSS SOCIAL NETWORK. Int. J. of Adv. Res. 5 (Jun). 2308-2312] (ISSN 2320-5407). www.journalijar.com

Charu Virmani
MRIU

DOI:

Article DOI: 10.21474/IJAR01/4673      
DOI URL: https://dx.doi.org/10.21474/IJAR01/4673

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