4 Matching Annotations
- Nov 2022
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webarchive.nationalarchives.gov.uk webarchive.nationalarchives.gov.uk
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Topic modelling was used to determine common topics across the wholecorpus. Sixty-five topics were found (of which 60 were used) using theApache Mallet Toolkit Latent Dirichlet Allocation (LDA) algorithm.
The authors used LDA with k=60 across full text case studies. The Apache Mallet implementation was used.
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- Jun 2020
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psyarxiv.com psyarxiv.com
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Westrupp, E., Greenwood, C., Fuller-Tyszkiewicz, M., Berkowitz, T., Hagg, L., & Youssef, G. J. (2020). Text Mining of Reddit Posts: Using Latent Dirichlet Allocation to Identify Common Parenting Issues [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/cw54u
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- Oct 2017
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www.wikiwand.com www.wikiwand.com
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Can someone explain why LDA is better than pLSI?
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- Aug 2017
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tedunderwood.com tedunderwood.com
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Computer scientists make LDA seem complicated because they care about proving that their algorithms work.
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