Soujanya Poria
Enhanced SenticNet with affective labels for concept-based opinion mining
Poria, Soujanya; Gelbukh, Alexander; Hussain, Amir; Howard, Newton; Das, Dipankar; Bandyopadhyay, Sivaji
Authors
Alexander Gelbukh
Prof Amir Hussain A.Hussain@napier.ac.uk
Professor
Newton Howard
Dipankar Das
Sivaji Bandyopadhyay
Abstract
SenticNet 1.0 is one of the most widely used, publicly available resources for concept-based opinion mining. The presented methodology enriches SenticNet concepts with affective information by assigning an emotion label.
Journal Article Type | Article |
---|---|
Online Publication Date | Jan 21, 2013 |
Publication Date | 2013-04 |
Deposit Date | Oct 11, 2019 |
Journal | IEEE Intelligent Systems |
Print ISSN | 1541-1672 |
Electronic ISSN | 1941-1294 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Volume | 28 |
Issue | 2 |
Pages | 2-9 |
DOI | https://doi.org/10.1109/MIS.2013.4 |
Keywords | Data mining, Knowledge discovery, Emotion recognition, Intelligent systems, Vocabulary, Feature extraction, Information analysis, Natural language processing, intelligent systems, SenticNet, sentic computing, sentiment analysis, opinion mining, emotion le |
Public URL | http://researchrepository.napier.ac.uk/Output/1793144 |
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