Opinion mining as extraction of attribute-value relations

Authors:
Nozomi Kobayashi;Ryu Iida;Kentaro Inui;Yuji Matsumoto
Affiliations:
Nara Institute of Science and Technology, Nara, Japan;Nara Institute of Science and Technology, Nara, Japan;Nara Institute of Science and Technology, Nara, Japan;Nara Institute of Science and Technology, Nara, Japan
Venue:
JSAI'05 Proceedings of the 2005 international conference on New Frontiers in Artificial Intelligence
Year:
2006

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Abstract

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 machine-learning techniques to both subtasks. We also report on the results of our experiments and discuss future directions.