sebischair / Lbl2Vec

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

Date Created 2021-07-18 (3 years ago)

Commits 36 (last one 2 years ago)

Stargazers 185 (0 this week)

Watchers 5 (0 this week)

Forks 27

License bsd-3-clause

Ranking

RepositoryStats indexes 632,768 repositories, of these sebischair/Lbl2Vec is ranked #198,877 (69th percentile) for total stargazers, and #323,896 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #36,315/129,079.

sebischair/Lbl2Vec is also tagged with popular topics, for these it's ranked: python (#9,343/23413), machine-learning (#3,591/8405), nlp (#1,061/2520), natural-language-processing (#639/1472), text-classification (#119/287)

Other Information

sebischair/Lbl2Vec has 1 open pull request on Github, 2 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 7 open issues and 4 closed issues.

There have been 3 releases, the latest one was published on 2022-12-29 (2 years ago) with the name Lbl2TransformerVec.

Homepage URL: https://wwwmatthes.in.tum.de/pages/naimi84squl1/Lbl2Vec-An-Embedding-based-Approach-for-Unsupervised-Document-Retrieval-on-Predefined-Topics

All Topics

nlp python word-embeddings label-embeddings machine-learning document-embeddings text-classification natural-language-processing unsupervised-classification unsupervised-document-retrieval

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27 commits on the default branch (main) since jan '22

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The only known language in this repository is Python

updated: 2025-03-26 @ 10:11am, id: 387239203 / R_kgDOFxTNIw