Probabilistic Explicit Topic Modeling

Latent Dirichlet Allocation (LDA) is widely used for automatic discovery of latent topics in document corpora. However, output from analysis using an LDA topic model suffers from a lack of identifiability between topics not only across corpora, but across runs of the algorithm. The output is also is...

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Bibliographic Details
Main Author: Hansen, Joshua Aaron
Format: Others
Published: BYU ScholarsArchive 2013
Subjects:
Online Access:https://scholarsarchive.byu.edu/etd/4027
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=5026&context=etd

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