Trend detection model

@inproceedings{Kawamae2010TrendDM,
  title={Trend detection model},
  author={Noriaki Kawamae and Ryuichiro Higashinaka},
  booktitle={WWW},
  year={2010}
}
This paper presents a topic model that detects topic distributions over time. Our proposed model, Trend Detection Model (TDM) introduces a latent trend class variable into each document. The trend class has a probability distribution over topics and a continuous distribution over time. Experiments using our data set show that TDM is useful as a generative model in the analysis of the evolution of trends. 

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