Fairness modeling for topics with different scales in short texts

The application of topic modeling to short texts is beset by challenges such as data sparsity and an absence of contextual information. Traditional research methods tend to prioritise high-attention and popular topics, frequently overlooking the identification of emerging topics. Consequently, subje...

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Bibliographic Details

Published in:	PeerJ Computer Science
Main Authors:	Chuangying Zhu, Yongyu Liang, Xinyuan Liang, Limiao Zhong, Fei Xie
Format:	Article
Language:	English
Published:	PeerJ Inc. 2025-07-01
Subjects:	Topic model Sparse data Short text Data dependency Social media
Online Access:	https://peerj.com/articles/cs-2936.pdf