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Estimating geographic subjective well-being from Twitter: A comparison of dictionary and data-driven language methods
Researchers and policy makers worldwide are interested in measuring the subjective well-being of populations. When users post on social media, they leave behind digital traces that reflect their thoughts and feelings. Aggregation of such digital traces may make it possible to monitor well-being at l...
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| Publicado en: | Proc Natl Acad Sci U S A |
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| Autores principales: | , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
National Academy of Sciences
2020
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7229753/ https://ncbi.nlm.nih.gov/pubmed/32341156 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1906364117 |
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