Paper: Support or Oppose? Classifying Positions in Online Debates from Reply Activities and Opinion Expressions

ACL ID C10-2100
Title Support or Oppose? Classifying Positions in Online Debates from Reply Activities and Opinion Expressions
Venue International Conference on Computational Linguistics
Session Poster Session
Year 2010
Authors

We propose a method for the task of iden- tifying the general positions of users in online debates, i.e., support or oppose the main topic of an online debate, by ex- ploiting local information in their remarks within the debate. An online debate is a forum where each user post an opin- ion on a particular topic while other users state their positions by posting their re- marks within the debate. The supporting or opposing remarks are made by directly replying to the opinion, or indirectly to other remarks (to express local agreement or disagreement), which makes the task of identifying users’ general positions diffi- cult. A prior study has shown that a link- based method, which completely ignores the content of the remarks, can achieve higher accuracy for the identification task than m...