Context-based feature technique for sarcasm identification in benchmark datasets using deep learning and bert model

• Main Authors: Eke, Christopher Ifeanyi, Norman, Azah Anir, Shuib, Liyana
• Format: Article
• Published: Institute of Electrical and Electronics Engineers 2021
• Subjects: QA75 Electronic computers. Computer science; TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.um.edu.my/26991/

Sarcasm is a complicated linguistic term commonly found in e-commerce and social media sites. Failure to identify sarcastic utterances in Natural Language Processing applications such as sentiment analysis and opinion mining will confuse classification algorithms and generate false results. Several...