Predicting Demographic User Using Social Network Site
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2019 by IJCTT Journal | ||
| Volume-67 Issue-6 |
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| Year of Publication : 2019 | ||
| Authors : Dr Kamaljit Kaur , Ripanjit kaur | ||
| DOI : 10.14445/22312803/IJCTT-V67I6P118 |
MLA Style:Dr Kamaljit Kaur , Ripanjit kaur"Predicting Demographic User Using Social Network Site" International Journal of Computer Trends and Technology 67.6 (2019): 109-110.
APA Style Dr Kamaljit Kaur , Ripanjit kaur.Predicting Demographic User Using Social Network Site International Journal of Computer Trends and Technology, 67(6),109-110.
Abstract
Publicity is any promotional communication regarding an organization and it is not a paid form of communication. The main purpose of publicity is to promote themselves. On a social network site such as Facebook[1], Twitter[2], Skype[3] some contents are attract to more visitor. It is very difficult for user to predict the publicity of person from large number of post and messages. In this paper we apply a FCM clustering technique on the database to predict the cluster of demographic user (male, female), after that applying the popularity index formula on high, medium low clustering percentage and show how many male like to person 1 and person 2.
Reference
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Keywords
Popularity, FCM, P-index.