A hyperbolic sarcasm detection model using negative sentiment tweets and machine learning algorithms / Vithyatheri Govindan
Social media platforms consist of rich language resources and is a valuable source for analysing people’s sentiment around the globe. Sarcasm detection is one of many challenges faced in sentiment analysis and is a classification problem. Many past studies employed various techniques and approaches...
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| Format: | Thesis |
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2024
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| Online Access: | http://studentsrepo.um.edu.my/15401/1/Vithyatheri_Govindan.pdf http://studentsrepo.um.edu.my/15401/2/Vithyatheri_Govindan.pdf http://studentsrepo.um.edu.my/15401/ |
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