Title :
Analyzing Sentiment Markers Describing Radical and Counter-Radical Elements in Online News
Author :
Davulcu, Hasan ; Ahmed, Syed Toufeeq ; Gokalp, Sedat ; Temkit, M´hamed H. ; Taylor, Thomas ; Woodward, Mark ; Amin, Ali
Author_Institution :
Dept. of Comput. Sci. & Eng., Arizona State Univ., Tempe, AZ, USA
Abstract :
In this study, we aim to obtain “natural groupings” of 151 local non-government organizations and institutions mentioned in a news archive of 77,000 articles spanning a decade (May 1999 to Jan 2010) from Indonesia. One of our goals is to enhance our understanding of counter-radical movements in critical locations in the Muslim world. We present information extraction techniques to recognize entities, and their beliefs and practices in text as a step towards identifying socially significant scales with explanatory power. Then, we proceed to cluster organizations based on these scales. We present experimental results, and discuss challenges in reasoning with the complex interactions of many simultaneous beliefs, practices and attitudes held by the leaders and followers of various organizations.
Keywords :
information retrieval; social networking (online); Muslim world; counter-radical movements; information extraction techniques; online news; sentiment markers; social network analysis; Clustering algorithms; Data mining; Feature extraction; Labeling; Measurement; Organizations; Semantics; Web information extraction; component; hierarchical clustering; markers; organizations; scales; spectral clustering;
Conference_Titel :
Social Computing (SocialCom), 2010 IEEE Second International Conference on
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-8439-3
Electronic_ISBN :
978-0-7695-4211-9
DOI :
10.1109/SocialCom.2010.55
