Enhancing rumour classification with target-based dual emotion using LLM

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...

Full description

Saved in:
Bibliographic Details
Main Author: Li, Yuanhang
Other Authors: Na Jin Cheon
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2024
Subjects:
Computer and Information Science
Social Sciences
Rumour classification
Target-based dual emotion
LLM
Online Access:https://hdl.handle.net/10356/181072
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/181072

Similar Items