With a growing amount of subjective content distributed across the Web, there is a need for a domain-independent information retrieval system that would support ad hoc retrieval of documents expressing opinions on a specific topic of the user's query. In this paper we present a lightweight method for ad hoc retrieval of documents which contain subjective content on the topic of the query. Documents are ranked by the likelihood each document expresses an opinion on a query term, approximated as the likelihood any occurrence of the query term is modified by a subjective adjective. Domain-independent user-based evaluation of the proposed method was conducted, and shows statistically significant gains over the baseline system. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Skomorowski, J., & Vechtomova, O. (2007). Ad hoc retrieval of documents with topical opinion. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4425 LNCS, pp. 405–417). Springer Verlag. https://doi.org/10.1007/978-3-540-71496-5_37
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