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
from labelled_topic_clustering import TopicClusterer
HF_TOKEN = '...'
MODEL_ID="sentence-transformers/all-mpnet-base-v2"
sentences = ["the weather is good", "my dog ate my homework"]
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)
clusters_labelled = clusterer.get_labels_from_clusters(clusters, sentences)
1 maintainer
Metadata
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Release files for labelled-topic-clustering 1.0.15
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Total release size: 11.3 kB
Release files / labelled-topic-clustering-1.0.15.tar.gz
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