Retrieval and novelty detection at the sentence level
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Relevance weighting for query independent evidence
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
An information-pattern-based approach to novelty detection
Information Processing and Management: an International Journal
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Highly frequent terms and sentence retrieval
SPIRE'07 Proceedings of the 14th international conference on String processing and information retrieval
Creating subjective and objective sentence classifiers from unannotated texts
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
Effective sentence retrieval based on query-independent evidence
Information Processing and Management: an International Journal
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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 the performance of state of the art sentence retrieval models.