GitHub / Anishgoswamicode / wikipedia-semantic-clustering
Unsupervised semantic clustering of Wikipedia topics using Sentence-BERT embeddings, UMAP for visualization, and DBSCAN for topic discovery
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Language: Jupyter Notebook
Size: 149 KB
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Created at: 1 day ago
Updated at: 1 day ago
Pushed at: 1 day ago
Last synced at: 1 day ago
Topics: bert, data-visualization, dbscan, dimensionality-reduction, embedding, nlp, semantic-clustering, sentence-transformers, text-analysis, topic-modeling, umap, unsupervised-learning, wikipedia