TITLE

Twitter Mining: The Case of 2014 Indonesian Legislative Elections

AUTHOR(S)
Mafrur, Rischan; Muthohar, M. Fiqri; Gi Hyun Bang; Do Kyeong Lee; Kyungbaek Kim; Deokjai Choi
PUB. DATE
December 2014
SOURCE
International Journal of Software Engineering & Its Applications;2014, Vol. 8 Issue 10, p191
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Twitter is an online micro blogging and social network which not only for communication with others but twitter can be used for business, administration, or political campaign. This paper concern about twitter for political campaign, we take one case in Indonesian legislative elections. In April 2014, Indonesia has held legislative elections. Fifteen political parties have been participated to this election. Each parties has unique strategic for campaign including social media campaign. In this paper we interested with one of political party which very active in social media campaign especially in Twitter, Partai Keadilan Sejahtera (PKS) or Prosperous Justice Party. This party has a lot of supporters and haters are active tweeting on Twitter about the goodness and badness of this party. This thing begs the question that "Who they are? It is really the voice of Indonesia or just tweets from twitter campaign accounts". This paper tried to answer above question by presenting the result of analysis with empirical data. We collected all tweets which related with this party and then extract the data and classify to two types of twitter accounts: real and campaign accounts. We use some features and Naïve Bayes as method for classification. We observe the difference between real and campaign accounts in terms of the tweeting behavior and account properties. We applied text mining methods to know what the meaning of the messages that they bring on their tweets.
ACCESSION #
99388158

 

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