Research output

Conference Paper (in Formal Publication) ()

Merging SenticNet and WordNet-Affect emotion lists for sentiment analysis

Citation
Poria S, Gelbukh A, Cambria E, Yang P, Hussain A & Durrani T (2012) Merging SenticNet and WordNet-Affect emotion lists for sentiment analysis In: International Conference on Signal Processing Proceedings, ICSP, Piscataway, NJ: IEEE. 2012 IEEE 11th International Conference on Signal Processing (ICSP), 21.10.2012 - 25.10.2012, Beijing, China, pp. 1251-1255.

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.

Keywords
Sentic computing; sentiment analysis; emotions

StatusPublished
AuthorsPoria Soujanya, Gelbukh Alexander, Cambria Erik, Yang Peipei, Hussain Amir, Durrani Tariq
Number in series2
Publication date2012
Date of public distribution10/2012
URLhttp://ieeexplore.ieee.org/…no&userType=inst
PublisherIEEE
Place of publicationPiscataway, NJ
ISBN 978-1-4673-2196-9
LanguageEnglish

Journal
International Conference on Signal Processing Proceedings, Icsp (2012)

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