https://github.com/GESAD-MSR/GA-LDA

Latent Dirichlet Allocation (LDA) implementation using Genetic Algorightms (GA) for hyper-paramenter optimization, based on Panichella (2019) implementation.
https://github.com/GESAD-MSR/GA-LDA

Last synced: 2 months ago
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Latent Dirichlet Allocation (LDA) implementation using Genetic Algorightms (GA) for hyper-paramenter optimization, based on Panichella (2019) implementation.

• Host: GitHub
• URL: https://github.com/GESAD-MSR/GA-LDA
• Owner: GESAD-MSR
• License: mit
• Created: 2020-03-13T13:46:10.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2020-03-13T13:57:16.000Z (almost 5 years ago)
• Last Synced: 2024-08-03T18:20:57.719Z (5 months ago)
• Language: R
• Size: 6.16 MB
• Stars: 0
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-topic-models - GA-LDA - R scripts using Genetic Algorithms (GA) for hyper-paramenter optimization, based on Panichella [:page_facing_up:](https://doi.org/10.1016/j.infsof.2020.106411) (Models / Latent Dirichlet Allocation (LDA) [:page_facing_up:](https://www.jmlr.org/papers/volume3/blei03a/blei03a.pdf))

README

        
# GA-LDA

Latent Dirichlet Allocation (LDA) implementation using Genetic Algorightms (GA) for hyper-paramenter optimization, based on Panichella (2019) implementation.