Document Type
Conference Paper
RIS ID
27539
Citation
Polpinij, Jantima and Ghose, Aditya K., 2008, An ontology-based sentiment classification methodology for online consumer reviews, IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, IEEE Explore Online: ieeexplore.ieee.org: Institute of Electrical and Electronics Engineers ( IEEE ).(Sydney), 518-524.
http://ro.uow.edu.au/era/1527
Abstract
This paper presents a method of ontology-based sentiment classification to classify and analyse online product reviews of consumers. We implement and experiment with a support vector machines text classification approach based on a lexical variable ontology. After testing, it could be demonstrated that the proposed method can provide more effectiveness for sentiment classification based on text content.