Fast Inference for Interactive Models of Text

Probabilistic models of text are a useful tool for enabling the analysis of large collections of digital text. For example, Latent Dirichlet Allocation can quickly produce topical summaries of large collections of text documents. Many important uses cases of such models include human interaction dur...

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Bibliographic Details
Main Author: Lund, Jeffrey A
Format: Others
Published: BYU ScholarsArchive 2015
Subjects:
Online Access:https://scholarsarchive.byu.edu/etd/5780
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=6779&context=etd