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Emnemodellering

28 metoder i denne familie.

Udvalgte

BERTopicBERTopic is a neural topic-modeling pipeline introduced by Maarten Grootendorst in 2022. It combines BERT-based contextual embeddings with UMAP dimensionality reduction and HDBSCANDomæne-adaptiv NMF emnemodelDomain-adaptive NMF Topic Modeling applies Non-negative Matrix Factorization to discover latent topics across text from multiple domains, using regularization or shared basis constForklarlig LDA Emne ModelExplainable LDA combines Latent Dirichlet Allocation — the canonical probabilistic topic model introduced by Blei, Ng, and Jordan in 2003 — with post-hoc and intrinsic interpretabiForklarlig NMF Emne-modelAn Explainable NMF Topic Model combines Non-negative Matrix Factorization — a parts-based decomposition of a document-term matrix — with explicit interpretability techniques such aForklarlig emnemodelleringExplainable Topic Modeling combines unsupervised topic discovery — such as LDA, NMF, or neural variants like BERTopic — with interpretability tools (top-word lists, coherence scoreFinjusteret LDA-emnemodelFine-Tuned LDA adapts a Latent Dirichlet Allocation model trained on a large general corpus to a specific target domain by continuing inference on domain-specific documents. Rather

Læsesti

Dette emnes mest refererede grundlæggende metoder, i den rækkefølge de blev udviklet — et godt sted at begynde, hvis du er ny her.

  1. NMF Emne-model1999af Lee, D. D. & Seung, H. S.
  2. Emne-modellering1999–2003af Hofmann, T. (pLSA, 1999); Blei, D. M., Ng, A. Y., & Jordan, M. I. (LDA, 2003)
  3. Latent Dirichlet Allocation (LDA)2003af Blei, D. M.; Ng, A. Y.; Jordan, M. I.
  4. LDA Emne-model2003af Blei, D. M., Ng, A. Y., & Jordan, M. I.
  5. Semi-supervised LDA Topic Model2009af Ramage, D.; Andrzejewski, D. et al.
  6. Semi-overvåget emnemodellering2009af Ramage, D.; Andrzejewski, D.; and related NLP community
  7. Overførselslæring med NMF emnemodellering2010 (transfer learning survey); 1999 (NMF)af Pan, S. J. & Yang, Q. (transfer learning framework); Lee, D. D. & Seung, H. S. (NMF base)
  8. BERTopic2022af Maarten Grootendorst
alle metoder på denne hylde ↓

Alle metoder 28

BERTopicDomæne-adaptiv NMF emnemodelForklarlig LDA Emne ModelForklarlig NMF Emne-modelForklarlig emnemodelleringFinjusteret LDA-emnemodelFinetunet emnemodelleringLatent Dirichlet Allocation (LDA)LDA Emne-modelFlersproget emnemodelleringMultimodal LDA-emnebaseret modelMultimodal NMF Topic ModelMultimodal Topic ModelingNMF Emne-modelNMF-emnemodelleringSelv-overvåget LDA Emne ModelSelv-superviseret NMF Emne ModelSelv-overvåget emnemodelleringSemi-supervised LDA Topic ModelSemi-supervised NMF Topic ModelSemi-overvåget emnemodelleringEmne-modelleringLatent Dirichlet Allocation (LDA)Overførsel af læring med LDA-emnemodelOverførselslæring med NMF emnemodelleringTransfer Learning med Topic ModelingSvagt superviseret LDA-emnemodelSvagt superviseret emnemodellering

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