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http://hdl.handle.net/1893/20592| Appears in Collections: | Computing Science and Mathematics Conference Papers and Proceedings |
| Author(s): | Poria, Soujanya Gelbukh, Alexander Cambria, Erik Yang, Peipei Hussain, Amir Durrani, Tariq |
| Contact Email: | amir.hussain@stir.ac.uk |
| 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. 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 |
| Issue Date: | 2012 |
| Date Deposited: | 9-Jul-2014 |
| Series/Report no.: | 2 |
| Conference Name: | 2012 IEEE 11th International Conference on Signal Processing (ICSP) |
| Conference Dates: | 2012-10-21 - 2012-10-25 |
| Conference Location: | Beijing, China |
| 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. |
| Status: | AM - Accepted Manuscript |
| Rights: | Copyright 2012 IEEE. Publisher policy states that authors are free to post the accepted version of their article on their personal Web sites or those of their employers. |
| URL: | http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=6491803&abstractAccess=no&userType=inst |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| IEEE ICSP.pdf | Fulltext - Accepted Version | 233.07 kB | Adobe PDF | View/Open |
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