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.

• Type: Conference
• Year: 2007
• Where: NAACL
• Authors: Guangwei Wang, Kenji Araki
• Keywords: Computational Linguistics, NAACL 2007, Opinion Mining, Opinion Mining Graphs, Simple Opinion Mining