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ACL
2009

Recognizing Stances in Online Debates

10 years 9 months ago
Recognizing Stances in Online Debates
This paper presents an unsupervised opinion analysis method for debate-side classification, i.e., recognizing which stance a person is taking in an online debate. In order to handle the complexities of this genre, we mine the web to learn associations that are indicative of opinion stances in debates. We combine this knowledge with discourse information, and formulate the debate side classification task as an Integer Linear Programming problem. Our results show that our method is substantially better than challenging baseline methods.
Swapna Somasundaran, Janyce Wiebe
Added 16 Feb 2011
Updated 16 Feb 2011
Type Journal
Year 2009
Where ACL
Authors Swapna Somasundaran, Janyce Wiebe
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