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Feature-Based Summarization Method for a Large Opinion Documents Collection
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 Title & Authors
Feature-Based Summarization Method for a Large Opinion Documents Collection
Chang, Jae-Young;
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 Abstract
Recently, an environment in which public opinions are expressed about various areas is expanded around SNSs or internet potals, thus, opinion documents get bigger rapidly. Under these circumstances, it is essential to utilize automatic summarization techniques for understanding whole contents of large opinion documents. However, it is hard to summarize efficiently those documents with traditional text summarization technologies since the documents include subject expressions as well as features of targets objects. Proposed method in this paper defines features of opinion documents, and designed to retrieve representative sentences expressing opinions of those features. In addition, through experiments, we prove the usefulness of proposed method.
 Keywords
Opinion Mining;Opinion Documents;Movie Reviews;Automatic Summarization;SNS;
 Language
Korean
 Cited by
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