Abstract
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.
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Han, S.C., Chung, H. (2012). Social Issue Gives You an Opportunity: Discovering the Personalised Relevance of Social Issues. In: Richards, D., Kang, B.H. (eds) Knowledge Management and Acquisition for Intelligent Systems. PKAW 2012. Lecture Notes in Computer Science(), vol 7457. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32541-0_24
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DOI: https://doi.org/10.1007/978-3-642-32541-0_24
Publisher Name: Springer, Berlin, Heidelberg
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