https://github.com/ai-se/LDA_FFT

LDA, TF-IDF against SVM, RF, DT, FFT (Text Mining)
https://github.com/ai-se/LDA_FFT

classification clustering differential-evolution fft genetic-algorithm hyperparameter-optimization hyperparameter-tuning information-retrieval lda optimization sbse software-engineering text-mining topic-modeling tuning

Last synced: about 1 month ago
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LDA, TF-IDF against SVM, RF, DT, FFT (Text Mining)

• Host: GitHub
• URL: https://github.com/ai-se/LDA_FFT
• Owner: ai-se
• License: mit
• Created: 2018-02-21T22:45:58.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2018-11-15T22:20:15.000Z (about 6 years ago)
• Last Synced: 2024-08-03T18:21:43.903Z (4 months ago)
• Topics: classification, clustering, differential-evolution, fft, genetic-algorithm, hyperparameter-optimization, hyperparameter-tuning, information-retrieval, lda, optimization, sbse, software-engineering, text-mining, topic-modeling, tuning
• Language: Python
• Homepage: https://arxiv.org/abs/1804.10657
• Size: 16.2 MB
• Stars: 1
• Watchers: 6
• Forks: 4
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-topic-models - LDA+FFT - LDA and FFTs (Fast and Frugal Trees) for better comprehensibility [:page_facing_up:](https://arxiv.org/pdf/1804.10657.pdf) (Models / Exotic models)

README

        
# LDA_FFT

LDA, TF-IDF against SVM, RF, DT, FFT (Text Mining)