Optimising Twitter-based Political Election Prediction with Relevance andSentiment Filters

We study the relation between the number of mentions of political parties in the last weeks before the elections and the election results.In this paper we focus on the Dutch elections of the parliament in 2012 and for the provinces (and the senate) in 2011 and 2015. With raw counts, without adaptations, we achieve a mean absolute error (MAE) of 2.71{\%} for 2011, 2.02{\%} for 2012 and 2.89{\%} for 2015... (read more)

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