The role of emotional variables in the classification and prediction of collective social dynamics
arXiv:1412.7184 · doi:10.12693/APhysPolA.127.A-21
Abstract
We demonstrate the power of data mining techniques for the analysis of collective social dynamics within British Tweets during the Olympic Games 2012. The classification accuracy of online activities related to the successes of British athletes significantly improved when emotional components of tweets were taken into account, but employing emotional variables for activity prediction decreased the classifiers' quality. The approach could be easily adopted for any prediction or classification study with a set of problem-specific variables.
16 pages, 9 figures, 2 tables and 1 appendix
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