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 language | English (US) |
---|---|
Title of host publication | 24th International Conference on Computational Linguistics - Proceedings of COLING 2012: Technical Papers |
Pages | 295-310 |
Number of pages | 16 |
State | Published - 2012 |
Event | 24th International Conference on Computational Linguistics, COLING 2012 - Mumbai, India Duration: Dec 8 2012 → Dec 15 2012 |
Other
Other | 24th International Conference on Computational Linguistics, COLING 2012 |
---|---|
Country/Territory | India |
City | Mumbai |
Period | 12/8/12 → 12/15/12 |
All Science Journal Classification (ASJC) codes
- Computational Theory and Mathematics
- Language and Linguistics
- Linguistics and Language