Abstract
Experiments forecasting Canadian elections with Twitter are presented. A methodology for creating a representative Twitter sample is described and validated against census data. This sample and election polls are input into a VARX forecast model. The model covariance error monitors the forecast accuracy, measuring forecast confidence before the election occurs. The model is tested on several Canadian elections.
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Microsoft’s Bing Maps, https://msdn.microsoft.com/en-us/library/ff701713.aspx.
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White, K. (2016). Forecasting Canadian Elections Using Twitter. In: Khoury, R., Drummond, C. (eds) Advances in Artificial Intelligence. Canadian AI 2016. Lecture Notes in Computer Science(), vol 9673. Springer, Cham. https://doi.org/10.1007/978-3-319-34111-8_24
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DOI: https://doi.org/10.1007/978-3-319-34111-8_24
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