Sarcasm Detection in Indonesian-English Code-Mixed Text Using Multihead Attention-Based Convolutional and Bi-Directional GRU

Detecting sarcasm in text is a very challenging task. Sarcasm often depends on context, tone, and cultural references, which can be difficult for machines to understand. In addition, the increasing occurrence of code-mixing in social media posts poses new challenges in sarcasm detection. Research on...

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Principais autores:	Mochamad Alfan Rosid, Daniel Oranova Siahaan, Ahmad Saikhu
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2024-01-01
סדרה:	IEEE Access
נושאים:	Sarcasm detection code mixed hybrid word embeddings convolutional BiGRU multi-head attention
גישה מקוונת:	https://ieeexplore.ieee.org/document/10616116/
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!