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Topic Modeling with BERTopic in R using reticulate and local LLMs10 months ago
Load R packages | Python packages | Text preparation | Model Preparation | Embeddings | Dimension reduction | Clustering | c-TF-IDF | Representation models | Zeroshot keywords | Topic Model | Model Training | Topic Dynamics | Store Results | Results | Document information | Representative docs | Topic information | Words in Topics | Topic Barchart | Find Topics | Get Topics | Topic Distribution | Intertopic Distance Map | Topic Similarity | Topic hierarchy | Visualize Documents | Topic Development | Groups | Wordcloud | Conclusion
Load and Reuse a BERTopic Model10 months ago
Load R packages | GPU availability (optional) | Load the model bundle | Load data for inspection | Create tables from the loaded model | Use extras and visualizations
Train and Save a BERTopic Model10 months ago
Load R packages | GPU availability (optional) | Load sample data | Train the model | Save the model and extras