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NAACL
2007

OMS-J: An Opinion Mining System for Japanese Weblog Reviews Using a Combination of Supervised and Unsupervised Approaches

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OMS-J: An Opinion Mining System for Japanese Weblog Reviews Using a Combination of Supervised and Unsupervised Approaches
We introduce a simple opinion mining system for analyzing Japanese Weblog reviews called OMS-J. OMS-J is designed to provide an intuitive visual GUI of opinion mining graphs for a comparison of different products of the same type to help a user make a quick purchase decision. We first use an opinion mining method using a combination of supervised (a Naive Bayes Classifier) and unsupervised (an improved SO-PMI: Semantic Orientation Using Pointwise Mutual Information) learning.
Guangwei Wang, Kenji Araki
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2007
Where NAACL
Authors Guangwei Wang, Kenji Araki
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