Merging SenticNet and WordNet-Affect emotion lists for sentiment analysis
Soujanya Poria, Alexander F. Gelbukh, Erik Cambria, Peipei Yang, Amir Hussain, T.S. Durrani · 2012
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.