Investigating the importance of hyperboles to detect sarcasm using machine learning techniques
The present study aims to improve sarcasm detection mechanisms using multiple hyperboles such as interjection, intensifiers, capital letters, punctuation, and elongated words. A non-bias dataset consisting of the current pandemic related hashtags was used, namely #Chinesevirus and #Kungflu. Analysis...
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Main Authors: | Govindan, Vithyatheri, Balakrishnan, Vimala |
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Format: | Article |
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Faculty of Computer Science and Information Technology, University of Malaya
2024
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Online Access: | http://eprints.um.edu.my/47084/ https://doi.org/10.22452/mjcs.vol37no1.3 |
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