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Redes sociales, inteligencia computacional y predicción electoral: el caso de las primarias presidenciales de Chile 2017
| Content Provider | Semantic Scholar |
|---|---|
| Author | Santander, Pedro Elortegui, Claudio González, Cristian Allende-Cid, Héctor Palma, Wenceslao |
| Copyright Year | 2018 |
| Abstract | This article shows the results of an interdisciplinary research applied to the predictive capacity of social networks, specifically Twitter, in the legal primaries in Chile in 2017. Through the incorporation of computational intelligence, we monitored the interaction of all Chilean users who mentioned at least once some of the five candidates competing to design a forecast model that considered the context of political communication, which delivered results under 2% in the mean absolute error (MAE), with more precision than the electoral polls. |
| Starting Page | 41 |
| Ending Page | 56 |
| Page Count | 16 |
| File Format | PDF HTM / HTML |
| DOI | 10.7764/cdi.41.1218 |
| Volume Number | 41 |
| Alternate Webpage(s) | https://scielo.conicyt.cl/pdf/cinfo/n41/0719-367X-cinfo-41-00041.pdf |
| Alternate Webpage(s) | https://doi.org/10.7764/cdi.41.1218 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |