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Sometimes Average is Best: The Importance of Averaging for Prediction using MCMC Inference in Topic Modeling
Viet-An Nguyen
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Jordan Boyd-Graber
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Philip Resnik
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Paper Details:
Month: October
Year: 2014
Location: Doha, Qatar
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Is Your Anchor Going Up or Down? Fast and Accurate Supervised Topic Models
Thang Nguyen
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Jordan Boyd-Graber
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Jeffrey Lund
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Kevin Seppi
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Eric Ringger
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Tea Party in the House: A Hierarchical Ideal Point Topic Model and Its Application to Republican Legislators in the 112th Congress
Viet-An Nguyen
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Jordan Boyd-Graber
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Philip Resnik
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Kristina Miler
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http://cran.r-project
http://drum.lib.umd.edu//handle/1903/10058
Field Of Study
Task
Summarization
Approach
Topic Modeling
Language
English
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