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Our approach to opinion blog retrieval consisted of first applying traditional IR methods to retrieve on\u2010topic blogs and then boosting the ranks of opinionated blogs based on combined opinion scores generated by multiple assessment methods. Our opinion module is composed of the Opinion Term Module, which identifies opinions based on the frequency of opinion terms (i.e., terms that occur frequently in opinion blogs), the Rare Term Module, which uses uncommon\/rare terms (e.g., \u201csooo good\u201d) for opinion classification, the IU Module, which uses IU (I and you) collocations, and the Adjective\u2010Verb Module, which uses computational linguistics' distribution similarity approach to learn the subjective language from training data.<\/jats:p>","DOI":"10.1002\/meet.1450440254","type":"journal-article","created":{"date-parts":[[2009,2,11]],"date-time":"2009-02-11T13:35:52Z","timestamp":1234359352000},"page":"1-14","source":"Crossref","is-referenced-by-count":3,"title":["Fusion approach to finding opinionated blogs"],"prefix":"10.1002","volume":"44","author":[{"given":"Kiduk","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ning","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alejandro","family":"Valerio","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weimao","family":"Ke","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2008,10,24]]},"reference":[{"key":"e_1_2_8_1_1","doi-asserted-by":"crossref","unstructured":"Bartell B. 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