Gibbs-BERTopic: A Hybrid Approach for Short Text Topic Modeling
As a rich source of direct user needs, online reviews can be effectively analyzed through topic modeling to uncover user preferences and requirements. However, the short and unstructured nature of online reviews, along with their high dimensionality, noise, and complex semantic structure, poses chal...
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| Main Authors: | Yan Zhu, Yueying Liu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10930480/ |
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