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Ontology-based sentiment analysis model of customer reviews for electronic products
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.
History
Publication status
- Published
File Version
- Published version
Page range
477-482Presentation Type
- lecture
Event name
2nd International Conference on Advancements in Information Technology, (ICAIT 2013)Event location
SingaporeEvent type
conferenceEvent date
24-25th August 2013Department affiliated with
- Engineering and Design Publications
Notes
Won Best paper awardFull text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2015-07-06First Compliant Deposit (FCD) Date
2015-07-03Usage metrics
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