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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| Main Authors: | Chuangying Zhu, Yongyu Liang, Xinyuan Liang, Limiao Zhong, Fei Xie |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2025-07-01
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| Series: | PeerJ Computer Science |
| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-2936.pdf |
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