A Bayesian Mixture Model for Term Re-occurrence and Burstiness

@inproceedings{Sarkar2005ABM,
  title={A Bayesian Mixture Model for Term Re-occurrence and Burstiness},
  author={Avik Sarkar and Paul H. Garthwaite and Anne N. De Roeck},
  booktitle={CoNLL},
  year={2005}
}
This paper proposes a model for term reoccurrence in a text collection based on the gaps between successive occurrences of a term. These gaps are modeled using a mixture of exponential distributions. Parameter estimation is based on a Bayesian framework that allows us to fit a flexible model. The model provides measures of a term’s re-occurrence rate and withindocument burstiness. The model works for all kinds of terms, be it rare content word, medium frequency term or frequent function word. A… CONTINUE READING
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