Fitting score distribution for blog opinion retrieval

He, B., Peng, J. and Ounis, I. (2009) Fitting score distribution for blog opinion retrieval. In: Proceedings of the 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, pp. 688-689. ISBN 9781605584836

Abstract

Current blog opinion retrieval approaches cannot be applied if the topic relevance and opinion score distributions by rank are dissimilar. This problem severely limits the feasibility of these approaches. We propose to tackle this problem by fitting the distribution of opinion scores, which replaces the original topic relevance score distribution with the simulated one. Our proposed score distribution fitting method markedly enhances the feasibility of a state-of-the-art dictionary-based opinion retrieval approach. Evaluation on a standard TREC blog test collection shows significant improvements over high quality topic relevance baselines.

• Item Type: Book Sections
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: He, Mr Ben and Ounis, Professor Iadh and Peng, Mr Jie
• Authors: He, B., Peng, J., and Ounis, I.
• Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
• College/School: College of Science and Engineering > School of Computing Science
• Publisher: ACM
• ISBN: 9781605584836