Comments (1)
The output of most visualizations are a Plotly figure that you can convert to HTML with .write_html
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Related Issues (20)
- Supervised topic model generating different topics to training data HOT 3
- Where is the full data set of embeddings? HOT 3
- Guided Modeling: Problem with seed_topic_list HOT 2
- Utilizing the GPU of MacBook Pro M3 to accelerate the process of fit_transform HOT 1
- Could we know the weights of each topic? HOT 6
- Can't reproduce same results when using cuml version of UMAP and HDBSCAN HOT 3
- approximate_distribution returns only 0s HOT 5
- Feature (Watsonx): representations using Llama-3-70b and Mixtral-8x7b HOT 1
- Which hyper parameter mostly influence the number of topics for Chinese texts? HOT 3
- Zero-Shot Topic Modelling and Topics Over Time HOT 1
- Loading of saved model returns Error: "This BERTopic instance is not fitted yet. Call 'fit' with appropriate arguments before using this estimator."
- Creating representations using IBM Watsonx LLMs HOT 5
- c_tf_idf_ is None when using zero shot topic modeling. HOT 1
- Issue with Scikit-learn 1.5.0
- Error at Combining clustered topics with the zeroshot model HOT 2
- Compare LDA, NMF, LSA with BERTopic (w/ embedding: all-MiniLM-L6-v2 + dim_red: UMAP + cluster: HDBSCAN) HOT 1
- AttributeError: 'BertModel' object has no attribute 'attn_implementation' #30965 HOT 3
- Zeroshot Topic Modeling With no Embedding Model HOT 1
- Extending ".visulize_document_datamap" with "label_over_points"-flag HOT 1
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