Title :
Identifying the Relevance of Social Issues to a Target
Author :
Han, Soyeon Caren ; Kang, Byeong Ho
Author_Institution :
Sch. of Comput. & Inf. Syst., Univ. of Tasmania, Sandy Bay, TAS, Australia
Abstract :
Responding to social issues is very crucial because their impact can be significant to organizations or individuals. In this paper, we focus on proposing the method that identifies the personalized relevance of social issues to targets, such as individuals or organizations. To achieve this aim, we first collected trending social issues from Google Trends, microblog, and Internet news. Then, we obtained the well-structured document management system as a target domain that contains all activities regarding target objects. We applied the Term Frequency Inverse Document Frequency to obtain the personalized relevance weight of the social issue to a target.
Keywords :
document handling; search engines; social networking (online); social sciences computing; Google Trends; Internet news; document management system; individual; microblog; organization; personalized relevance; social issue relevance identification; target domain; target object; term frequency inverse document frequency; Australia; Blogs; Educational institutions; Google; Information systems; Organizations; Standards; Google Trends; Social Issues; Trending Topic;
Conference_Titel :
Web Services (ICWS), 2012 IEEE 19th International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4673-2131-0
DOI :
10.1109/ICWS.2012.102