|Appears in Collections:||Computing Science and Mathematics Conference Papers and Proceedings|
|Title:||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.|
|Conference Name:||2012 IEEE 11th International Conference on Signal Processing (ICSP)|
|Conference Location:||Beijing, China|
|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.|
|Status:||Book Chapter: author post-print (pre-copy editing)|
|Rights:||Copyright 2012 IEEE. Publisher policy states that authors are free to post the accepted version of their article on their personal Web sites or those of their employers.|
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