Detection of Sarcasm in Urdu Tweets Using Deep Learning and Transformer Based Hybrid Approaches

Sarcasm has a significant role in human communication especially on social media platforms where users express their sentiments through humor, satire, and criticism. The identification of sarcasm is crucial in comprehending the sentiment and the communication context on platforms like Twitter. This...

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Hlavní autoři:	Muhammad Ehtisham Hassan, Masroor Hussain, Iffat Maab, Usman Habib, Muhammad Attique Khan, Anum Masood
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2024-01-01
Edice:	IEEE Access
Témata:	Urdu sarcasm detection NLP deep learning LLMs BERT embeddings hybrid model
On-line přístup:	https://ieeexplore.ieee.org/document/10508575/
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