A MODEL TO EXTRACT SENTIMENTAL KNOWLEDGE IN A SEMANTIC WEB CONTEXT
Öz
Nowadays, in a social and semantic context, the web contains millions of data, generic information
and opinions. The semantic techonology, using specific ontologies, is very important to represent the web
knowledge and to understand the meaning of online textual information. To extract useful knowledge and
sentiment (positivity or negativity) of opinions it is necessary to have a model that interpreters this information
from both semantic and sentiment point of view. In this paper, after the analysis of the web semantic
architecture, we describe a framework of sentiment analysis to interpret and extract the sentiment of opinions
expressed by people about a product/service, public administrator or law.
Anahtar Kelimeler
Kaynakça
- Boley H., Tabet S. and Wagner G. (2001). “Design Rationale of RuleML: A Markup Language for Semantic Web Rules”. In Proc. Semantic Web Working Symposium (SWWS’01), Stanford University, July/August 2001, pp. 381-401
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- Brickley D., Guha R.V. (2003). “RDF Vocabulary Description Language 1.0 : RDF Schema”,W3C Working Draft 23 January 2003 available online at http://www.w3.org/TR/rdf-schema/
- Consoli D., Diamantini C. and Potena D. (2008). "Improving the customer intelligence with Customer enterprise Customer model". In Proc. of the 10th International Conference on Enterprise Information Systems, Software Agents and Internet Computing (SAIC), Barcelona, Spain, June 12-16 2008, pp. 323- 326.
- Consoli D., Diamantini C., Potena D. (2009a). "Knowledge Mining from web customer opinions to improve enterprise product". In Proceedings 2th International Conference on Mathematics and Informatics, Bacau, September 8-10 2009, Vol. 19 (2009), n. 2, pp. 163-178
- Consoli D., Diamantini C., Potena D. (2009b). "Affective algorithm to polarize customer opinions" In Proc. of the 11th International Conference on Enterprise Information Systems, Human-Computer Interaction (HCI), Milan, Italy, May 6-10 2009, pp. 157-160.
- Dean M. and Schreiber G. (2003). "Web Ontology Language (OWL) Reference Version 1.0", W3C Working Draft, 21 Febbraio 2003 available online at http://www.w3.org/TR/owl-ref/
- Ekman P. (2007).“Emotions Revealed: Recognizing Faces and Feelings to Improve Communication and Emotional Life” NY: OWL Books, 2007.
Ayrıntılar
Birincil Dil
İngilizce
Konular
-
Bölüm
Araştırma Makalesi
Yazarlar
Domenico Consolı
Bu kişi benim
Yayımlanma Tarihi
1 Haziran 2012
Gönderilme Tarihi
15 Şubat 2015
Kabul Tarihi
-
Yayımlandığı Sayı
Yıl 2012 Cilt: 7 Sayı: 1