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Evolution analysis of online topics based on ‘word-topic’ coupling network
Analyzing topic evolution is an effective way to monitor the overview of topic spreading. Existing methods have focused either on the intensity evolution of topics along a timeline or the topic evolution path of technical literature. In this paper, we aim to study topic evolution from a micro perspe...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9211795/ https://www.ncbi.nlm.nih.gov/pubmed/35755632 http://dx.doi.org/10.1007/s11192-022-04439-x |