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A Stream-Oriented Community Generation for Integrating TV and Social Network Services

Authors:
Riho Nakano
Shuichi Kurabayashi

Keywords: Community Generation; Social Network Services; TV stream; Cross-media Infrastructure; Sentiment Analysis.

Abstract:
This paper proposes a stream-oriented community generation that associates real-time TV streams and Web resources by analyzing the communication among users on a social network service (SNS). The aim of this system is to provide a novel media environment for enhanced cross-media communication and discussion by dynamically creating social communities according to the real-time contexts of TV stream. The unique feature of this system is an implicit community analysis mechanism that employs the TV stream as a powerful and well-organized "context-creator" for SNS users. This system extract a group of viewers who have the same or similar interests by integrating the term co-occurrence statistics of SNS messages and their synchronicity to TV. To detect the context-dependent group of users, this system provides a dynamic feature keyword selection mechanism to create a vector space, which is specifically tailored to the TV context. The application scope of this system includes analysis of community-level sentiments in SNS messages associated with a TV program and the analysis of transitions in the sentiments of communities to develop effective advertising strategies.

Pages: 286 to 289

Copyright: Copyright (c) IARIA, 2012

Publication date: May 27, 2012

Published in: conference

ISSN: 2308-3972

ISBN: 978-1-61208-200-4

Location: Stuttgart, Germany

Dates: from May 27, 2012 to June 1, 2012