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Analysis of Twitter data with the Bayesian fused graphical lasso
We propose a method to simplify textual Twitter data into understandable networks of terms that can signify important events and their possible changes over time. The method allows for common characteristics of the networks across time periods and each period can comprise multiple unknown sub-networ...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7384635/ https://www.ncbi.nlm.nih.gov/pubmed/32716924 http://dx.doi.org/10.1371/journal.pone.0235596 |