René's URL Explorer Experiment


Title: The Algorithm - BERTopic

Description: Leveraging BERT and a class-based TF-IDF to create easily interpretable topics.

Generator: mkdocs-1.6.1, mkdocs-material-9.7.0

direct link

Domain: maartengr.github.io

authorMaarten P. Grootendorst

Links:

Skip to content https://maartengr.github.io/BERTopic/algorithm/algorithm.html#the-algorithm
https://maartengr.github.io/BERTopic/index.html
GitHub https://github.com/MaartenGr/BERTopic
Home https://maartengr.github.io/BERTopic/index.html
The Algorithm https://maartengr.github.io/BERTopic/algorithm/algorithm.html
Getting Started https://maartengr.github.io/BERTopic/getting_started/quickstart/quickstart.html
FAQ https://maartengr.github.io/BERTopic/faq.html
Use Cases https://maartengr.github.io/BERTopic/usecases.html
API https://maartengr.github.io/BERTopic/api/bertopic.html
Changelog https://maartengr.github.io/BERTopic/changelog.html
https://maartengr.github.io/BERTopic/index.html
GitHub https://github.com/MaartenGr/BERTopic
Home https://maartengr.github.io/BERTopic/index.html
The Algorithm https://maartengr.github.io/BERTopic/algorithm/algorithm.html
Visual Overview https://maartengr.github.io/BERTopic/algorithm/algorithm.html#visual-overview
Code Overview https://maartengr.github.io/BERTopic/algorithm/algorithm.html#code-overview
Detailed Overview https://maartengr.github.io/BERTopic/algorithm/algorithm.html#detailed-overview
1. Embed documents https://maartengr.github.io/BERTopic/algorithm/algorithm.html#1-embed-documents
2. Dimensionality reduction https://maartengr.github.io/BERTopic/algorithm/algorithm.html#2-dimensionality-reduction
3. Cluster Documents https://maartengr.github.io/BERTopic/algorithm/algorithm.html#3-cluster-documents
4. Bag-of-words https://maartengr.github.io/BERTopic/algorithm/algorithm.html#4-bag-of-words
5. Topic representation https://maartengr.github.io/BERTopic/algorithm/algorithm.html#5-topic-representation
6. (Optional) Fine-tune Topic representation https://maartengr.github.io/BERTopic/algorithm/algorithm.html#6-optional-fine-tune-topic-representation
Quick Start https://maartengr.github.io/BERTopic/getting_started/quickstart/quickstart.html
Serialization https://maartengr.github.io/BERTopic/getting_started/serialization/serialization.html
Search Topics https://maartengr.github.io/BERTopic/getting_started/search/search.html
Best Practices https://maartengr.github.io/BERTopic/getting_started/best_practices/best_practices.html
Topics https://maartengr.github.io/BERTopic/getting_started/visualization/visualize_topics.html
Documents https://maartengr.github.io/BERTopic/getting_started/visualization/visualize_documents.html
Terms https://maartengr.github.io/BERTopic/getting_started/visualization/visualize_terms.html
Hierarchy https://maartengr.github.io/BERTopic/getting_started/visualization/visualize_hierarchy.html
Topic Reduction https://maartengr.github.io/BERTopic/getting_started/topicreduction/topicreduction.html
Update Topic Representations https://maartengr.github.io/BERTopic/getting_started/topicrepresentation/topicrepresentation.html
Outlier reduction https://maartengr.github.io/BERTopic/getting_started/outlier_reduction/outlier_reduction.html
Parameter tuning https://maartengr.github.io/BERTopic/getting_started/parameter%20tuning/parametertuning.html
Tips & Tricks https://maartengr.github.io/BERTopic/getting_started/tips_and_tricks/tips_and_tricks.html
1. Embeddings https://maartengr.github.io/BERTopic/getting_started/embeddings/embeddings.html
2. Dimensionality Reduction https://maartengr.github.io/BERTopic/getting_started/dim_reduction/dim_reduction.html
3. Clustering https://maartengr.github.io/BERTopic/getting_started/clustering/clustering.html
4. Vectorizers https://maartengr.github.io/BERTopic/getting_started/vectorizers/vectorizers.html
5. c-TF-IDF https://maartengr.github.io/BERTopic/getting_started/ctfidf/ctfidf.html
6A. Representation Models https://maartengr.github.io/BERTopic/getting_started/representation/representation.html
6B. LLM & Generative AI https://maartengr.github.io/BERTopic/getting_started/representation/llm.html
6C. Multiple Representations https://maartengr.github.io/BERTopic/getting_started/multiaspect/multiaspect.html
Dynamic Topic Modeling https://maartengr.github.io/BERTopic/getting_started/topicsovertime/topicsovertime.html
Hierarchical Topic Modeling https://maartengr.github.io/BERTopic/getting_started/hierarchicaltopics/hierarchicaltopics.html
Multimodal Topic Modeling https://maartengr.github.io/BERTopic/getting_started/multimodal/multimodal.html
Online Topic Modeling https://maartengr.github.io/BERTopic/getting_started/online/online.html
Merge Multiple Models https://maartengr.github.io/BERTopic/getting_started/merge/merge.html
Semi-supervised Topic Modeling https://maartengr.github.io/BERTopic/getting_started/semisupervised/semisupervised.html
Supervised Topic Modeling https://maartengr.github.io/BERTopic/getting_started/supervised/supervised.html
Manual Topic Modeling https://maartengr.github.io/BERTopic/getting_started/manual/manual.html
Guided Topic Modeling https://maartengr.github.io/BERTopic/getting_started/guided/guided.html
Zero-shot Topic Modeling https://maartengr.github.io/BERTopic/getting_started/zeroshot/zeroshot.html
Topic Distributions https://maartengr.github.io/BERTopic/getting_started/distribution/distribution.html
Topics per Class https://maartengr.github.io/BERTopic/getting_started/topicsperclass/topicsperclass.html
Seed Words https://maartengr.github.io/BERTopic/getting_started/seed_words/seed_words.html
FAQ https://maartengr.github.io/BERTopic/faq.html
Use Cases https://maartengr.github.io/BERTopic/usecases.html
BERTopic https://maartengr.github.io/BERTopic/api/bertopic.html
1. Backends https://maartengr.github.io/BERTopic/api/backends.html
2. Dimensionality Reduction https://maartengr.github.io/BERTopic/api/dimensionality.html
3. Clustering https://maartengr.github.io/BERTopic/api/cluster.html
4. Vectorizers https://maartengr.github.io/BERTopic/api/vectorizers.html
5. c-TF-IDF https://maartengr.github.io/BERTopic/api/ctfidf.html
6. Fine-Tune Topic Representation https://maartengr.github.io/BERTopic/api/representations.html
Barchart https://maartengr.github.io/BERTopic/api/plotting/barchart.html
Documents https://maartengr.github.io/BERTopic/api/plotting/documents.html
Documents with DataMapPlot https://maartengr.github.io/BERTopic/api/plotting/document_datamap.html
DTM https://maartengr.github.io/BERTopic/api/plotting/dtm.html
Hierarchical documents https://maartengr.github.io/BERTopic/api/plotting/hierarchical_documents.html
Hierarchical topics https://maartengr.github.io/BERTopic/api/plotting/hierarchy.html
Distribution https://maartengr.github.io/BERTopic/api/plotting/distribution.html
Heatmap https://maartengr.github.io/BERTopic/api/plotting/heatmap.html
Term Scores https://maartengr.github.io/BERTopic/api/plotting/term.html
Topics https://maartengr.github.io/BERTopic/api/plotting/topics.html
Topics per Class https://maartengr.github.io/BERTopic/api/plotting/topics_per_class.html
Changelog https://maartengr.github.io/BERTopic/changelog.html
Visual Overview https://maartengr.github.io/BERTopic/algorithm/algorithm.html#visual-overview
Code Overview https://maartengr.github.io/BERTopic/algorithm/algorithm.html#code-overview
Detailed Overview https://maartengr.github.io/BERTopic/algorithm/algorithm.html#detailed-overview
1. Embed documents https://maartengr.github.io/BERTopic/algorithm/algorithm.html#1-embed-documents
2. Dimensionality reduction https://maartengr.github.io/BERTopic/algorithm/algorithm.html#2-dimensionality-reduction
3. Cluster Documents https://maartengr.github.io/BERTopic/algorithm/algorithm.html#3-cluster-documents
4. Bag-of-words https://maartengr.github.io/BERTopic/algorithm/algorithm.html#4-bag-of-words
5. Topic representation https://maartengr.github.io/BERTopic/algorithm/algorithm.html#5-topic-representation
6. (Optional) Fine-tune Topic representation https://maartengr.github.io/BERTopic/algorithm/algorithm.html#6-optional-fine-tune-topic-representation
https://maartengr.github.io/BERTopic/algorithm/algorithm.html#the-algorithm
https://maartengr.github.io/BERTopic/algorithm/algorithm.html#visual-overview
Embeddingshttps://maartengr.github.io/BERTopic/getting_started/embeddings/embeddings.html
Dimensionality Reductionhttps://maartengr.github.io/BERTopic/getting_started/dim_reduction/dim_reduction.html
Clusteringhttps://maartengr.github.io/BERTopic/getting_started/clustering/clustering.html
Tokenizerhttps://maartengr.github.io/BERTopic/getting_started/vectorizers/vectorizers.html
Weighting Schemehttps://maartengr.github.io/BERTopic/getting_started/ctfidf/ctfidf.html
Representation Tuninghttps://maartengr.github.io/BERTopic/getting_started/representation/representation.html
Large Language Models (LLM)https://maartengr.github.io/BERTopic/getting_started/representation/llm.html
https://maartengr.github.io/BERTopic/algorithm/algorithm.html#code-overview
https://maartengr.github.io/BERTopic/algorithm/algorithm.html#detailed-overview
https://maartengr.github.io/BERTopic/algorithm/algorithm.html#1-embed-documents
sentence-transformershttps://github.com/UKPLab/sentence-transformers
herehttps://maartengr.github.io/BERTopic/getting_started/embeddings/embeddings.html
https://maartengr.github.io/BERTopic/algorithm/algorithm.html#2-dimensionality-reduction
UMAPhttps://github.com/lmcinnes/umap
herehttps://maartengr.github.io/BERTopic/getting_started/dim_reduction/dim_reduction.html
https://maartengr.github.io/BERTopic/algorithm/algorithm.html#3-cluster-documents
herehttps://maartengr.github.io/BERTopic/getting_started/clustering/clustering.html
https://maartengr.github.io/BERTopic/algorithm/algorithm.html#4-bag-of-words
herehttps://maartengr.github.io/BERTopic/getting_started/vectorizers/vectorizers.html
https://maartengr.github.io/BERTopic/algorithm/algorithm.html#5-topic-representation
herehttps://maartengr.github.io/BERTopic/getting_started/ctfidf/ctfidf.html
https://maartengr.github.io/BERTopic/algorithm/algorithm.html#6-optional-fine-tune-topic-representation
herehttps://maartengr.github.io/BERTopic/getting_started/representation/representation.html
implemented LLMs herehttps://maartengr.github.io/BERTopic/getting_started/representation/llm
Maarten Grootendorsthttps://github.com/MaartenGr
Material for MkDocs https://squidfunk.github.io/mkdocs-material/

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