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pypi.org : lbl2vec
Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.
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Source
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- JSON
purl: pkg:pypi/lbl2vec
Keywords: document-embeddings, label-embeddings, machine-learning, natural-language-processing, nlp, python, text-classification, unsupervised-classification, unsupervised-document-retrieval, word-embeddings
License: BSD-3-Clause,BSD-3-Clause
Latest release: over 1 year ago
First release: almost 3 years ago
Dependent repositories: 1
Downloads: 1,882 last month
Stars: 163 on GitHub
Forks: 26 on GitHub
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Last synced: 19 days ago