Sam, K M and Chatwin, C R (2013) Ontology-based sentiment analysis model of customer reviews for electronic products. In: 2nd International Conference on Advancements in Information Technology, (ICAIT 2013), 24-25th August 2013, Singapore.

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Abstract

This paper reports on a generalizable system model design that analyzes the unstructured customer reviews inside the posts about electronic products on social networking
websites. For the purposes of this study, posts on social
networking websites have been mined and the keywords are
extracted from such posts. The extracted keywords and the
ontologies of electronic products and emotions form the base for the sentiment analysis model which is used to understand online consumer behavior in the market. In order to enhance system accuracy, negating and enhancing terms are considered in the proposed model. Sentiment analysis is demonstrated to be extremely important to system accuracy.

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Won Best paper award
Keywords:	Semantic content retrieval, sentiment analysis, non-rule based unstructured data, query analysis, HowNet, ontology
Schools and Departments:	School of Engineering and Informatics > Engineering and Design
Subjects:	H Social Sciences Q Science T Technology
Related URLs:	Author Organisation
Depositing User:	Chris Chatwin
Date Deposited:	06 Jul 2015 08:35
Last Modified:	06 Jul 2015 08:35
URI:	http://sro.sussex.ac.uk/id/eprint/55112

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