Steeler nation, 12th man, and boo birds: Classifying Twitter user interests using time series

@article{Yang2013SteelerN1,
  title={Steeler nation, 12th man, and boo birds: Classifying Twitter user interests using time series},
  author={Tao Yang and Dongwon Lee and Su Yan},
  journal={2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013)},
  year={2013},
  pages={684-691}
}
The problem of Twitter user classification using the contents of tweets is studied. We generate time series from tweets by exploiting the latent temporal information and solve the classification problem in time series domain. Our approach is inspired by the fact that Twitter users sometimes exhibit the periodicity pattern when they share their activities or express their opinions. We apply our proposed methods to both binary and multi-class classification of sports and political interests of… CONTINUE READING
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