Unveiling Sarcastic Intent: Web-Based Detection of Sarcasm In News Headlines
Detecting sarcasm in news headlines poses a significant challenge due to the intricate nature of language and the subtle nuances of sarcastic expressions. This study uses machine learning techniques to introduce a novel web-based sarcasm detection system tailored explicitly for news headlines. This...
Main Authors: | Mohd Nazzim Lahaji, Tajul Rosli Razak, Mohammad Hafiz bin Ismail |
---|---|
Format: | Article |
Language: | English |
Published: |
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis
2023-09-01
|
Series: | Journal of Computing Research and Innovation |
Subjects: | |
Online Access: | https://jcrinn.com/index.php/jcrinn/article/view/365 |
Similar Items
-
Sarcasm detection using news headlines dataset
by: Rishabh Misra, et al.
Published: (2023-01-01) -
Deep Learning for Sarcasm Identification in News Headlines
by: Rasikh Ali, et al.
Published: (2023-04-01) -
Strategies for creating headlines on Serbian online news portals
by: Kvapil Milena
Published: (2021-01-01) -
Dysphemism Manifestation: Disassembly Ganyang Malaysia in Indonesian Football News Headlines
by: Aswan, et al.
Published: (2023-12-01) -
Clickbait and translation: Proposing a typology of online news headline transcreation strategies
by: Lilik Untari, et al.
Published: (2023-09-01)