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Information Technology Journal

Year: 2010 | Volume: 9 | Issue: 8 | Page No.: 1607-1614
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Authors

Hanxiao Shi

Guodong Zhou

Peide Qian

Keywords

Research Article

An Attribute-based Sentiment Analysis System

Hanxiao Shi, Guodong Zhou and Peide Qian
With the rapid development of E-Commerce, the number of customer reviews that a product receives grows rapidly. For a popular product, there are a large number of reviews. This makes it difficult for a potential customer to make an informed decision on purchasing the product, as well as for the manufacturer of the product to keep track and to manage customer opinions. Polarity analysis of reviews based on sentence or document level often can not show precise results, because of several attributes of the product included in one review sentence. This study uses semantic role labeling tool to realize shallow semantic analysis of reviews and propose a novel approach to focus the attribute-polarity pair and make sentiment orientation analysis. Finally the visualization of prototype system is implemented to help potential consumers make a whole understanding of all reviews. Experimental results on a real-world data set how that the system is feasible and effective.
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