Dynamic topic models for temporal document networks
Dynamic topic models explore the time evolution of topics in temporally accumulative corpora. While existing topic models focus on the dynamics of individual documents, we propose two neural topic models aimed at learning unified topic distributions that incorporate both document dynamics and networ...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2022
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/7607 https://ink.library.smu.edu.sg/context/sis_research/article/8610/viewcontent/icml22.pdf |
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| Institution: | Singapore Management University |
| Language: | English |
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