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Social issues gives you an opportunity: discovering the personalised relevance of social issues


Han, SC and Chung, H, Social issues gives you an opportunity: discovering the personalised relevance of social issues, Proceedings of the12th Pacific Rim Knowledge Acquisition Workshop, 5-6 September 2012, Kuching, Malaysia, pp. 272-284. ISBN 978-3-642-32540-3 (2012) [Refereed Conference Paper]

Copyright Statement

Copyright 2012 Springer-Verlag Berlin Heidelberg

DOI: doi:10.1007/978-3-642-32541-0


Social networking services have received a lot of attention recently so that the discussion of certain issues is becoming more dynamic. Many websites provide a new service that displays the list of the trending social issues. It is very important to respond to those social issues since the impact on organisations or people may be considerable. In this paper, we present our research on developing the personalised relevance identification system that displays the relevance of social issues to a target domain. To accomplish this, we first collected social issue keywords from Google Trends, Twitter and Google News. After that, we setup an electronic document management system as a target domain that would include all knowledge and activities having to do with a target object. In order to identify the relevance of the social issues to a target, we applied the Term Frequency Inverse Document Frequency (TFIDF). Our experiments prove that we can identify the meaningful relevance of social issues to targets, such as individuals or organizations.

Item Details

Item Type:Refereed Conference Paper
Keywords:google trends, social issues, social networking sites, twitter, trending topic
Research Division:Information and Computing Sciences
Research Group:Computer vision and multimedia computation
Research Field:Pattern recognition
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Han, SC (Ms Caren Han)
UTAS Author:Chung, H (Mr David Chung)
ID Code:81267
Year Published:2012
Deposited By:Information and Communication Technology
Deposited On:2012-11-27
Last Modified:2018-04-04

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