Analyzing social media data having discontinuous underlying dynamics

@article{Servi2013AnalyzingSM,
  title={Analyzing social media data having discontinuous underlying dynamics},
  author={Leslie D. Servi},
  journal={Oper. Res. Lett.},
  year={2013},
  volume={41},
  pages={581-585}
}
This talk describes an algorithm which identifies times of emotional discontinuity as reflected in social media. The talk formulates the optimization problem to solve to best explain the social media data, develops an algorithm to solve it, and illustrates the new method by analyzing mood shifts reflected in 380,000 Twitter messages related to one of the world's most popular soccer teams, Manchester United, during their 2011-12 season. November 1 2:00-3:00PM ISOM ROOM 112 2013 UMass INFORMS… CONTINUE READING
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