https://github.com/marionchaff/topic-modelling

NLP: topic modelling using BERTopic + LSA + pLSA + LDA
https://github.com/marionchaff/topic-modelling

bertopic customer-reviews e-commerce lda lsa machine-learning natural-language-processing nlp plsa python text-analysis topic-modelling

Last synced: 11 days ago
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NLP: topic modelling using BERTopic + LSA + pLSA + LDA

• Host: GitHub
• URL: https://github.com/marionchaff/topic-modelling
• Owner: MarionChaff
• Created: 2024-07-20T07:07:29.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-07-20T07:17:28.000Z (6 months ago)
• Last Synced: 2024-11-06T02:33:49.595Z (about 2 months ago)
• Topics: bertopic, customer-reviews, e-commerce, lda, lsa, machine-learning, natural-language-processing, nlp, plsa, python, text-analysis, topic-modelling
• Language: Jupyter Notebook
• Homepage:
• Size: 2.16 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# topic-modelling

NLP / Topic modelling / Customer reviews

Topic modelling applied to a public e-commerce review dataset

This reusable scripts implements several topic modelling techniques: BERTopic, Latent Semantic Analysis (LSA), Probabilistic Latent Semantic Analysis (pLSA), Latent Dirichlet Allocation (LDA)