On the World Wide Web, the volume of subjective information, such as opinions and reviews, has been increasing rapidly. The trends and rules latent in a large set of subjective descriptions can potentially be useful for decision-making purposes. In this paper, we propose a method for summarizing subjective descriptions, specifically opinions in Japanese. We visualize the pro and con arguments for a target topic, such as "Should Japan introduce the summertime system?" Users can summarize the arguments about the topic in order to choose a more reasonable standpoint for decision making. We evaluate our system, called "OpinionReader", experimentally.
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Fujii et al. (2006) studied this question.
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