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Do Emotions Expressed Online Correlate with Actual Changes in Decision-Making?: The Case of Stock Day Traders
Emotions are increasingly inferred linguistically from online data with a goal of predicting off-line behavior. Yet, it is unknown whether emotions inferred linguistically from online communications correlate with actual changes in off-line activity. We analyzed all 886,000 trading decisions and 1,2...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4713085/ https://www.ncbi.nlm.nih.gov/pubmed/26765539 http://dx.doi.org/10.1371/journal.pone.0144945 |