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JSAI
2005
Springer

Opinion Mining as Extraction of Attribute-Value Relations

10 years 16 days ago
Opinion Mining as Extraction of Attribute-Value Relations
This paper addresses the task of extracting opinions from a given document collection. Assuming that an opinion can be represented as a tuple Subject, Attribute, Value , we propose a computational method to extract such tuples from texts. In this method, the main task is decomposed into (a) the process of extracting Attribute-Value pairs from a given text and (b) the process of judging whether an extracted pair expresses an opinion of the author. We apply machinelearning techniques to both subtasks. We also report on the results of our experiments and discuss future directions.
Nozomi Kobayashi, Ryu Iida, Kentaro Inui, Yuji Mat
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where JSAI
Authors Nozomi Kobayashi, Ryu Iida, Kentaro Inui, Yuji Matsumoto
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