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