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...
Saved in:
Main Authors: | , , , |
---|---|
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Internet
https://eprints.ums.edu.my/id/eprint/22265/1/Mechanism%20for%20Sarcasm%20Detection%20and%20Classification%20in%20Malay%20Social%20Media.pdfhttps://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