Using opinion-based features to boost sentence retrieval

Opinion mining has become recently a major research topic. A wide range of techniques have been proposed to enable opinion-oriented information seeking systems. However, little is known about the ability of opinion-related information to improve regular retrieval tasks. Our hypothesis is that standard retrieval methods might benefit from the inclusion of opinion-based features. A sentence retrieval scenario is a natural choice to evaluate this claim. We propose here a formal method to incorporate some opinion-based features of the sentences as query-independent evidence. We show that this incorporation leads to retrieval methods whose performance is significantly better than the performance of state of the art sentence retrieval models. Categories and Subject Descriptors H.3 [Information Storage and Retrieval]: H3.3 Information Search and Retrieval. General Terms Theory, Experimentation Keywords Opinion mining, Sentence retrieval.

• Type: Conference
• Year: 2009
• Where: CIKM
• Authors: Ronald T. Fernández, David E. Losada
• Keywords: CIKM 2009, Database, Retrieval Methods, Sentence Retrieval, Sentence Retrieval Scenario