Thread specific features are helpful for identifying subjectivity orientation of online forum threads

Prakhar Biyani, Sumit Bhatia, Cornelia Caragea, Prasenjit Mitra

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Citations (Scopus)

Abstract

Subjectivity analysis has been actively used in various applications such as opinion mining of customer reviews in online review sites, question-answering in CQA sites, multi-document summarization, etc. However, there has been very little focus on subjectivity analysis in the domain of online forums. Online forums contain huge amounts of user-generated data in the form of discussions between forum members on specific topics and are a valuable source of information. In this work, we perform subjectivity analysis of online forum threads. We model the task as a binary classification of threads in one of the two classes: subjective and non-subjective. Unlike previous works on subjectivity analysis, we use several non-lexical thread-specific features for identifying subjectivity orientation of threads. We evaluate our methods by comparing them with several state-of-the-art subjectivity analysis techniques. Experimental results on two popular online forums demonstrate that our methods outperform strong baselines in most of the cases.

Original languageEnglish
Title of host publication24th International Conference on Computational Linguistics - Proceedings of COLING 2012: Technical Papers
Pages295-310
Number of pages16
Publication statusPublished - 2012
Externally publishedYes
Event24th International Conference on Computational Linguistics, COLING 2012 - Mumbai
Duration: 8 Dec 201215 Dec 2012

Other

Other24th International Conference on Computational Linguistics, COLING 2012
CityMumbai
Period8/12/1215/12/12

    Fingerprint

Keywords

  • Dialogue act
  • Online forums
  • Subjecitivity

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Language and Linguistics
  • Linguistics and Language

Cite this

Biyani, P., Bhatia, S., Caragea, C., & Mitra, P. (2012). Thread specific features are helpful for identifying subjectivity orientation of online forum threads. In 24th International Conference on Computational Linguistics - Proceedings of COLING 2012: Technical Papers (pp. 295-310)