Merging SenticNet and WordNet-Affect emotion lists for sentiment analysis

Research Output

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.

Date:

31 December 2012
Publication Status:

Published
DOI:

10.1109/ICoSP.2012.6491803
Funders:

Historic Funder (pre-Worktribe)

http://researchrepository.napier.ac.uk/output/1793218 <p>Poria, S., Gelbukh, A., Cambria, E., Yang, P., Hussain, A., & Durrani, T. (2012). Merging SenticNet and WordNet-Affect emotion lists for sentiment analysis. https://doi.org/10.1109/ICoSP.2012.6491803</p>

Citation

Poria, S., Gelbukh, A., Cambria, E., Yang, P., Hussain, A., & Durrani, T. (2012). Merging SenticNet and WordNet-Affect emotion lists for sentiment analysis. https://doi.org/10.1109/ICoSP.2012.6491803