Enhancing rumour classification with target-based dual emotion using LLM

Emotion plays a significant role in detecting online rumours. While existing methods focus on publisher emotion, the emotions of readers (i.e., reader emo tion) are often overlooked. Moreover, the relationship between publisher emotion and reader emotion (i.e., dual emotion) and its manifestation i...

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Bibliographic Details
Main Author: Li, Yuanhang
Other Authors: Na Jin Cheon
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2024
Subjects:
LLM
Online Access:https://hdl.handle.net/10356/181072
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Institution: Nanyang Technological University
Language: English
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