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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 no: | Proc Natl Acad Sci U S A |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
National Academy of Sciences
2020
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| Assuntos: | |
| Acesso em linha: | 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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