PrototypeCommon
sebischair/Lbl2Vec
Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.
- Owner
- sebischair (organization)
- Stars
- Stars: 185
- Forks
- Forks: 28
- Language
- Python
- License
- BSD-3-Clause
- Created
- 2021
- Topics
- natural-language-processingword-embeddingsdocument-embeddingslabel-embeddingsunsupervised-classificationnlpmachine-learningtext-classificationpythonunsupervised-document-retrieval
- Tier
- Prototype (100 to 249 ★) What this tier means
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