The paper entitled “Language-Model-based Pro/Con Classification of Political Text and co-written by R. Awadallah, M. Ramanath and G. Weikum, has been presented at SIGIR 2010, in Geneva, Switzerland on July 19th-23rd, 2010
Given a controversial political topic, our aim is to classify documents debating the topic into pro or con. Our approach in this paper extracts topic related terms, pro/con related terms, and pairs of topic related and pro/con related terms and uses them as the basis for constructing a pro query and a con query. Following standard LM techniques, a document is classified as pro or con depending on which of the query likelihoods is higher for the document. Our experiments show that our approach is promising.
The LK project is funded by the European Commission under Project No. 231126