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GitHub / sebischair / Lbl2Vec
Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sebischair%2FLbl2Vec
Stars: 170
Forks: 28
Open Issues: 9
License: bsd-3-clause
Language: Python
Repo Size: 13.7 MB
Dependencies:
34
Created: almost 3 years ago
Updated: 6 days ago
Last pushed: 4 months ago
Last synced: about 11 hours ago
Topics: document-embeddings, label-embeddings, machine-learning, natural-language-processing, nlp, python, text-classification, unsupervised-classification, unsupervised-document-retrieval, word-embeddings
Files
Dependencies
- docutils ==0.16
- gensim >=4.0.1
- numpy >=1.21.0
- pandas >=1.3.0
- psutil >=5.8.0
- readthedocs-sphinx-search ==0.1.0
- recommonmark ==0.7.1
- scikit-learn >=0.24.2
- sphinx ==3.2.1
- sphinx-markdown-tables ==0.0.15
- sphinx_rtd_theme ==0.5.2
- sphinxcontrib-applehelp ==1.0.2
- sphinxcontrib-devhelp ==1.0.2
- sphinxcontrib-htmlhelp ==1.0.3
- sphinxcontrib-jsmath ==1.0.1
- sphinxcontrib-qthelp ==1.0.3
- sphinxcontrib-serializinghtml ==1.1.4
- sphinxcontrib-websupport ==1.2.4
- swifter >=1.0.9
- actions/checkout v2 composite
- actions/setup-python v1 composite
- pytest >=7.0.1 test