Paper: Identifying Opinion Subgroups in Arabic Online Discussions

ACL ID P13-2144
Title Identifying Opinion Subgroups in Arabic Online Discussions
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2013
Authors

In this paper, we use Arabic natural lan- guage processing techniques to analyze Arabic debates. The goal is to identify how the participants in a discussion split into subgroups with contrasting opinions. The members of each subgroup share the same opinion with respect to the discus- sion topic and an opposing opinion to the members of other subgroups. We use opinion mining techniques to identify opinion expressions and determine their polarities and their targets. We opinion predictions to represent the discussion in one of two formal representations: signed attitude network or a space of attitude vec- tors. We identify opinion subgroups by partitioning the signed network represen- tation or by clustering the vector space representation. We evaluate the system us- ing a data set of label...