Interactive Aspect Summarization Using Word-aspect Relations for Review Documents
SCIS & ISIS SCIS & ISIS 2010Published 1 January 2010
Kazutaka Shimada, Masashi Yamaumi, Ryosuke Tadano, Masashi Hadano, Tsutomu Endo
Citations6
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TL;DR
The method employs an unsupervised approach for the identification process and generates a summary of aspects of a product in the summarization process by identifying a relation between aspects and each word in review documents.
Abstract
As the World Wide Web rapidly grows, a huge number of online documents are easily accessible on the Web. We obtain a huge number of review documents that include user’s opinions for products. To summarize the opinions is one of the hottest topics in natural language processing. We focus on aspects of a product in the summarization process. First, we identify a relation between aspects and each word in review documents. Our method employs an unsupervised approach for the identification process. The experimental result shows the effectiveness of the method. Next, we generate a summary by using the relations. In our system, users obtain the summary by an interactive approach.
Keywords
Computer Science
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