Super Simple Topic Clustering
Super Simple Topic Clustering is as the name suggests, feed it an array of sentences and it will cluster them with human-readable names.
Quick Start
pip install labelled-topic-clustering
sentences = ["the weather is good", "my dog ate my homework"] # json.load(f)
HF_TOKEN = '...'
MODEL_ID="sentence-transformers/all-mpnet-base-v2"
clusterer = TopicClusterer(HF_TOKEN, MODEL_ID, debug=True, model_cache_dir="an/absolute/path/that/is/a/good/place/to/store/large/files")
clusters = clusterer.get_clusters(sentences, 0.5, 2)
print(clusters)
clusters_labelled = clusterer.get_labels_from_clusters(clusters, sentences)
print(clusters_labelled)
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Metadata
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Release files for labelled-topic-clustering 1.0.14
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Total release size: 11.4 kB
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