Mechanism for sarcasm detection and classification in Malay social media

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...

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Bibliographic Details
Main Authors: Mohd Suhairi Md Suhaimin, Mohd Hanafi Ahmad Hijazi, Rayner Alfred, Frans Coenen
Format: Article
Language:English
Published: American Scientific Publishers 2018
Subjects:
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
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