Conference Paper (in Formal Publication) ()
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.
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.
Sentic computing; sentiment analysis; emotions
|Authors||Poria Soujanya, Gelbukh Alexander, Cambria Erik, Yang Peipei, Hussain Amir, Durrani Tariq|
|Number in series||2|
|Date of public distribution||10/2012|
|Place of publication||Piscataway, NJ|
International Conference on Signal Processing Proceedings, Icsp (2012)