Modified framework for sarcasm detection and classification in sentiment analysis

• Main Authors: Mohd Suhairi Md Suhaimin, Mohd Hanafi Ahmad Hijazi, Rayner Alfred, Frans Coenen
• Format: Article
• Language: English; English
• Published: Institute of Advanced Engineering and Science (IAES) 2018
• Subjects: BF Psychology; HM Sociology (General)
• Online Access: https://eprints.ums.edu.my/id/eprint/30046/1/Modified%20framework%20for%20sarcasm%20detection%20and%20classification%20in%20sentiment%20analysis-Abstract.pdf; https://eprints.ums.edu.my/id/eprint/30046/2/Modified%20framework%20for%20sarcasm%20detection%20and%20classification%20in%20sentiment%20analysis.pdf; https://eprints.ums.edu.my/id/eprint/30046/; http://ijeecs.iaescore.com/index.php/IJEECS/article/view/17000; https://doi.org/10.11591/ijeecs.v13.i3.pp1175-1183

Sentiment analysis is directed at identifying people's opinions, beliefs, views and emotions in the context of the entities and attributes that appear in text. The presence of sarcasm, however, can significantly hamper sentiment analysis. In this paper a sentiment classification framework is pr...