Topic Scaling: A Joint Document Scaling–Topic Model Approach to Learn Time-Specific Topics
This paper proposes a new methodology to study sequential corpora by implementing a two-stage algorithm that learns time-based topics with respect to a scale of document positions and introduces the concept of <i>Topic Scaling</i>, which ranks learned topics within the same document scale. The first...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2022-11-01
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| coleção: | Algorithms |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/1999-4893/15/11/430 |
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