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|Title:||Merging SenticNet and WordNet-Affect emotion lists for sentiment analysis||Authors:||Poria, S.
|Issue Date:||2012||Citation:||Poria, S.,Gelbukh, A.,Cambria, E.,Yang, P.,Hussain, A.,Durrani, T. (2012). Merging SenticNet and WordNet-Affect emotion lists for sentiment analysis. International Conference on Signal Processing Proceedings, ICSP 2 : 1251-1255. ScholarBank@NUS Repository. 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. © 2012 IEEE.||Source Title:||International Conference on Signal Processing Proceedings, ICSP||URI:||http://scholarbank.nus.edu.sg/handle/10635/116752||ISBN:||9781467321945||DOI:||10.1109/ICoSP.2012.6491803|
|Appears in Collections:||Staff Publications|
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