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CIKM
2007
Springer

Opinion retrieval from blogs

10 years 8 months ago
Opinion retrieval from blogs
Opinion retrieval is a document retrieval process, which requires documents to be retrieved and ranked according to their opinions about a query topic. A relevant document must satisfy two criteria: relevant to the query topic, and contains opinions about the query, no matter if they are positive or negative. In this paper, we describe an opinion retrieval algorithm. It has a traditional information retrieval (IR) component to find topic relevant documents from a document set, an opinion classification component to find documents having opinions from the results of the IR step, and a component to rank the documents based on their relevance to the query, and their degrees of having opinions about the query. We implemented the algorithm as a working system and tested it using TREC 2006 Blog Track data in automatic title-only runs. Our result showed 28% to 32% improvements in MAP score over the best automatic runs in this 2006 track. Our result is also 13% higher than a state-of-art opin...
Wei Zhang, Clement T. Yu, Weiyi Meng
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where CIKM
Authors Wei Zhang, Clement T. Yu, Weiyi Meng
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