Open Access
2010 Modeling temporal text streams using the local multinomial model
Guy Lebanon, Yang Zhao, Yanjun Zhao
Electron. J. Statist. 4: 566-584 (2010). DOI: 10.1214/09-EJS522


Temporal text data such as news feeds cannot be adequately modeled by standard n-grams which correspond to multinomial or Markov chain models. Instead, we examine the application of local n-grams to modeling time stamped documents. We derive the asymptotic bias and variance and consider the bandwidth selection problem. Experimental results are presented on news feeds and web search query logs.


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Guy Lebanon. Yang Zhao. Yanjun Zhao. "Modeling temporal text streams using the local multinomial model." Electron. J. Statist. 4 566 - 584, 2010.


Published: 2010
First available in Project Euclid: 16 June 2010

zbMATH: 1329.62244
MathSciNet: MR2660533
Digital Object Identifier: 10.1214/09-EJS522

Primary: 62G99
Secondary: 62P99

Keywords: kernel smoothing , text modeling

Rights: Copyright © 2010 The Institute of Mathematical Statistics and the Bernoulli Society

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