https://github.com/jonaschn/topbox

Python 3 wrapper around the Stanford Topic Modeling Toolbox. Intended to be used for hassle-free supervised topic classification with Labeled Latent Dirichlet Allocation (L-LDA, LLDA, sLDA).
https://github.com/jonaschn/topbox

labeled-lda nlp stanford-nlp stanford-tmt topic-modeling

Last synced: about 2 months ago
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Python 3 wrapper around the Stanford Topic Modeling Toolbox. Intended to be used for hassle-free supervised topic classification with Labeled Latent Dirichlet Allocation (L-LDA, LLDA, sLDA).

• Host: GitHub
• URL: https://github.com/jonaschn/topbox
• Owner: jonaschn
• License: gpl-2.0
• Fork: true (clips/topbox)
• Created: 2021-01-11T11:17:25.000Z (over 3 years ago)
• Default Branch: master
• Last Pushed: 2021-01-20T10:08:18.000Z (over 3 years ago)
• Last Synced: 2024-04-08T02:58:43.832Z (6 months ago)
• Topics: labeled-lda, nlp, stanford-nlp, stanford-tmt, topic-modeling
• Language: Python
• Homepage: https://cmry.github.io/notes/topbox
• Size: 29.3 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0

Awesome Lists containing this project

• awesome-topic-models - topbox - Python wrapper for labeled LDA implementation of *Stanford TMT* (Models / Labeled Latent Dirichlet Allocation (LLDA, Labeled-LDA, L-LDA) [:page_facing_up:](https://www.aclweb.org/anthology/D09-1026.pdf))