학술논문
Sarcasm detection framework using context, emotion and sentiment features
Document Type
Article
Source
In Expert Systems With Applications 30 December 2023 234
Subject
Language
ISSN
0957-4174
Abstract
Highlights •Sarcasm is highly interconnected with context, emotion and sentiment features.•A model proposed for sarcasm detection task.•The model contains different blocks for extracting different features.•Proposed model outperforms existing state-of-the-art models.•Context features render the major impact on the result.