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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Bibliographic Details
Main Authors: Md Saifullah Razali, Alfian Abdul Halin, Yang-Wai Chow, Noris Mohd Norowi, Shyamala Doraisamy
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9841563/