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LABELLING OF SHORT MESSAGES IN TWITTER FOR CHARACTER ANALYSIS-A STUDY
Anjana P, Syam Sankar

Published in: International Journal of Current Engineering And Scientific Research ( IJCESR)
Volume- 4, Issue-8, pp.39-42, Aug 2017
DPI :-> 16.10046.IJCESR.2017.V4I8.3942.1902



Abstract
Microblogging has become an essential tool for internet users. Most of them are members of any one of the social media networking sites. So the peoples are connected with the world and the world is on the finger tip. Twitter, Facebook etc. are the very popular social networking sites. This paper proposes a method to process Twitter data (tweets) for the purpose of categorizing the account holder’s character and behavior from their tweets. It is done by assigning predefined labels into tweets that matches the meaning of the corresponding label and thus analyzing interested area of a particular person or the user. K-means clustering algorithm is used in the formation of clusters of datasets (tweets) in the training phase. The system uses four labels such as “normal”, “political”, “sports” and “technological”. The departments like cyber forensic can make use of this system for analyzing the comments or opinion in social networking sites by setting appropriate datasets

Key-Words / Index Term
Classification, Clustering, Information Retrieval, tweet extraction.

How to cite this article
Anjana P, Syam Sankar , “LABELLING OF SHORT MESSAGES IN TWITTER FOR CHARACTER ANALYSIS-A STUDY”, International Journal of Current Engineering And Scientific Research ( IJCESR), 4, Issue-8, pp.39-42, Aug 2017. DPI:16.10046.IJCESR.V4.I8.1902