Please use this identifier to cite or link to this item:
|Title:||Merging SenticNet and WordNet-Affect emotion lists for sentiment analysis|
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Oct 16, 2018
checked on Sep 7, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.