Conference Paper (published)
Details
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. 2. 2012 IEEE 11th International Conference on Signal Processing (ICSP), Beijing, China, 21.10.2012-25.10.2012. Piscataway, NJ: IEEE, pp. 1251-1255. http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=6491803&abstractAccess=no&userType=inst; https://doi.org/10.1109/ICoSP.2012.6491803
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
| Status | Published |
|---|---|
| Number in series | 2 |
| Publication date | 31/12/2012 |
| Publication date online | 31/10/2012 |
| URL | |
| Publisher | IEEE |
| Publisher URL | |
| Place of publication | Piscataway, NJ |
| ISBN | 978-1-4673-2196-9 |
| Conference | 2012 IEEE 11th International Conference on Signal Processing (ICSP) |
| Conference location | Beijing, China |
| Dates | – |
People (1)
Honorary Professor, Computing Science