Mechanism for sarcasm detection and classification in Malay social media

• Main Authors: Mohd Suhairi Md Suhaimin, Mohd Hanafi Ahmad Hijazi, Rayner Alfred, Frans Coenen
• Format: Article
• Language: English
• Published: American Scientific Publishers 2018
• Subjects: DS Asia
• Online Access: https://eprints.ums.edu.my/id/eprint/22265/1/Mechanism%20for%20Sarcasm%20Detection%20and%20Classification%20in%20Malay%20Social%20Media.pdf; https://eprints.ums.edu.my/id/eprint/22265/; https://www.ingentaconnect.com/content/asp/asl/2018/00000024/00000002/art00129;jsessionid=bfgnc2q403kdk.x-ic-live-01; https://doi.org/10.1166/asl.2018.10755
• Institution: Universiti Malaysia Sabah

The classification of users’ sentiment from social media data can be used to learn public opinion on certain issues. The presence of sarcasm in sentences can hamper the performance of the classification as it tends to “fool” the system. In this paper, we investigate mechanisms for detecting sarcasm...