Searching Blog Sites with Product Reviews

Recently, buzz marketing sites gives the information that is useful for consumers and companies. They want to customer feedbacks of feeling and experience. However, the searched results contain huge numbers of commercial sites when user search review with traditional search engine. We search blog site that include review sentence. We need to decision whether document of blog site include review sentence. Thus we think that two process to decide blog site whether review blog site. The first process creates to data set for certain product that viewpoint feature word. In this paper, feature word is tow term in the evaluated perspective word and evaluated value word. Data set is information for making decision sentence whether review sentence. Second process is a search for review sentence. This process decided blog site whether review blog site. This process use extracted opinion tuples from one sentence of blog site document and created data set to decide sentence whether sentence is review sentence. This process decided review blog whether document of blog site include one and more review sentence. We proposed review blog site searching system that system have two process.

Authors and Affiliations

1. Tokyo City University, 1-28-1, Tamadutumi, Setagaya, Tokyo, Japan

   Hironori Kuwata, Makoto Oka & Hirohiko Mori

Editors and Affiliations

1. Faculty of Engineering, Department of Management Science, Tokyo University of Science, 1-3 Kagurazaka, 162-8601, Shinjuku-ku, Tokyo, Japan

   Sakae Yamamoto

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