A joint-training topic model for social media texts
Abstract The burgeoning significance of topic mining for social media text has intensified with the proliferation of social media platforms. Nevertheless, the brevity and discreteness of social media text pose significant challenges to conventional topic models, which often struggle to perform well...
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| Main Authors: | Simeng Qin, Mingli Zhang, Haiju Hu, Gang Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2025-03-01
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| Series: | Humanities & Social Sciences Communications |
| Online Access: | https://doi.org/10.1057/s41599-025-04551-2 |
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