Context-driven satire detection with deep learning
This work discuss the task of automatically detecting satire instances in short articles. It is the study of extracting the most optimal features by using a deep learning architecture combined with carefully handcrafted contextual features. It is found that a few sets can perform well when they are...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
IEEE
2022
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