Evolving research themes in six selected wood science journals: insights from text mining and latent dirichlet allocation
Abstract This study analyzes the status, trends, and future directions in wood science research using text-mining techniques. We applied these techniques to a textual dataset constructed from metadata of six major wood science journals, covering the period from 2002 to 2024. The research explores pu...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
SpringerOpen
2024-12-01
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| Series: | Journal of Wood Science |
| Assuntos: | |
| Acceso en liña: | https://doi.org/10.1186/s10086-024-02171-z |
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