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

fYear

2010

fDate

20-22 Aug. 2010

Firstpage

335

Lastpage

340

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/SocialCom.2010.55

Filename

5591246