Modeling temporal text streams using the local multinomial model
Guy Lebanon, Yang Zhao, and Yanjun Zhao
Source: Electron. J. Statist.
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.
Links and Identifiers
Permanent link to this document: http://projecteuclid.org/euclid.ejs/1276694115
Digital Object Identifier: doi:10.1214/09-EJS522
Mathematical Reviews number (MathSciNet): MR2660533
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