Lbl2Vec

Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.

natural-language-processing

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186 Stars

28 Forks

186 Watchers

Python Language

bsd-3-clause License

Cost to Build

$771.6K

Market Value

$2.18M

How is this calculated?

Growth over time

2 data points · 2023-03-01 → 2025-08-01

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What is the sebischair/Lbl2Vec GitHub project? Description: "Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone Lbl2Vec

Clone via HTTPS

git clone https://github.com/sebischair/Lbl2Vec.git

Clone via SSH

[email protected]:sebischair/Lbl2Vec.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the Lbl2Vec issue tracker:

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