OMS-J: an opinion mining system for Japanese Weblog reviews using a combination of supervised and unsupervised approaches

Authors:
Guangwei Wang;Kenji Araki
Affiliations:
Hokkaido University, Sapporo, Japan;Hokkaido University, Sapporo, Japan
Venue:
NAACL-Demonstrations '07 Proceedings of Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations
Year:
2007

Citing 2
Cited 1

Movie Review Mining: a Comparison between Supervised and Unsupervised Classification Approaches

HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 4 - Volume 04
Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews

ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics

An Unsupervised Opinion Mining Approach for Japanese Weblog Reputation Information Using an Improved SO-PMI Algorithm

IEICE - Transactions on Information and Systems

Quantified Score

Hi-index	0.02

Visualization

Abstract

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.