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Limits of Opinion-Finding Baseline Systems

Published

Author(s)

Ian M. Soboroff, Craig Macdonald, Ben He, Iadh Ounis

Abstract

In opinion-finding, the retrieval system is tasked with re- trieving not just relevant documents, but which also express an opinion towards the query target entity. Most opinion- finding systems are based on a two-stage approach, where initially the system aims to retrieve relevant documents, which are then re-ranked according to the extent to which they are detected to be of an opinionated nature. In this work, we investigate how the underlying baseline retrieval system performance affects the overall opinion-finding per- formance. We apply two effective opinion-finding techniques to all the baseline runs submitted to the TREC 2007 Blog track, and draw new insights and conclusions.
Proceedings Title
Proceedings of the 31th Annual International ACM SIGIR Conference on Research and Development Information Retrieval
Conference Dates
July 21-25, 2008
Conference Location
Singapore, SN
Conference Title
ACM SIGIR 2008 (Special Interest Group for Information Retrieval)

Keywords

blog search, opinion finding

Citation

Soboroff, I. , Macdonald, C. , He, B. and Ounis, I. (2008), Limits of Opinion-Finding Baseline Systems, Proceedings of the 31th Annual International ACM SIGIR Conference on Research and Development Information Retrieval, Singapore, SN (Accessed June 19, 2024)

Issues

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Created July 21, 2008, Updated February 19, 2017