Metadata-Version: 2.1
Name: lbl2vec
Version: 1.0
Summary: Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.
Home-page: https://github.com/sebischair/Lbl2Vec
Author: Tim Schopf
Author-email: tim.schopf@tum.de
License: BSD 3-Clause "New" or "Revised" License
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python :: 3
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
License-File: LICENSE

UNKNOWN

