By Topic

Business intelligence from Twitter for the television media: A case study

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Marasanapalle, J. ; Comput. & Decision Sci. Lab., GE - Global Res., Bangalore, India ; Vignesh, T.S. ; Srinivasan, P.K. ; Saha, A.

Twitter, the social network service, is a rich source of information on customer response to a live event such as a television show. In this paper we present a case study where we analyzed publicly available tweets that were posted when a popular TV show was aired for the first time in a season. We use standard text-mining techniques to answer questions such as, what were the main themes during the show, what drove the popularity of the show and what were the kind of viewers who were tweeting on the show. This kind of business intelligence can be used by content producers in improving future shows, in targeted marketing to audience, in gathering competitive intelligence and many other ways.

Published in:

Business Applications of Social Network Analysis (BASNA), 2010 IEEE International Workshop on

Date of Conference:

15-15 Dec. 2010