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Facet-based opinion retrieval from blogs
2010
Information Processing & Management
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The paper presents methods of retrieving blog posts containing opinions about an entity expressed in the query. The methods use a lexicon of subjective words and phrases compiled from manually and automatically developed resources. One of the methods uses the Kullback-Leibler divergence to weight subjective words occurring near query terms in documents, another uses proximity between the occurrences of query terms and subjective words in documents, and the third combines both factors. Methods
doi:10.1016/j.ipm.2009.06.005
fatcat:fip3myunozhj3obgrnc2w5qvoe