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Ontology-based text-mining model for social network analysis
This paper aims to design a system model that analyzes the unstructured data 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 text-mining model which is used to understand online consumer behavior in the market.
History
Publication status
- Published
Publisher
IEEEExternal DOI
Page range
226-231Event name
IEEE 6th International Conference on Management of Innovation and Technology, ICMIT 2012;BaliEvent location
BaliEvent type
conferenceEvent date
11/6/2012 to 13/6/2012Book title
Management of Innovation and Technology (ICMIT), 2012 IEEE International Conference onISBN
9781467301084Department affiliated with
- Engineering and Design Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2012-08-30Usage metrics
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