Merging SenticNet and WordNet-Affect emotion lists for sentiment analysis

Poria, S.; Gelbukh, A.; Cambria, E.; Yang, P.; Hussain, A.; Durrani, T.

Abstract

SenticNet is currently one of the most comprehensive freely available semantic resources for opinion mining. However, it only provides numerical polarity scores, while more detailed sentiment-related information for its concepts is often desirable. Another important resource for opinion mining and sentiment analysis is WordNet-Affect, which in turn lacks quantitative information. We report a work on automatically merging these two resources by assigning emotion labels to more than 2700 concepts.

• Presentation Conference Type: Conference Paper (Published)
• Start Date: Oct 21, 2012
• End Date: Oct 25, 2012
• Online Publication Date: Apr 4, 2013
• Publication Date: 2012
• Deposit Date: Oct 14, 2019
• Publicly Available Date: Oct 14, 2019
• Publisher: Institute of Electrical and Electronics Engineers
• Volume: 2
• Pages: 1251-1255
• Series ISSN: 2164-523X
• ISBN: 978-1-4673-2196-9
• DOI: https://doi.org/10.1109/ICoSP.2012.6491803
• Keywords: Sentic computing, sentiment analysis, emotions
• Public URL: http://researchrepository.napier.ac.uk/Output/1793218