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: 5 months ago
JSON representation
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 4 years ago)
- Default Branch: master
- Last Pushed: 2021-01-20T10:08:18.000Z (about 4 years ago)
- Last Synced: 2024-08-03T18:21:05.008Z (8 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))