anisderoual/Document_Archiver_Korean-NLP_BERTClustering

📂 Extract, embed, cluster, and securely store Korean text from documents using BERT, enhancing research efficiency and organization.

/ 100

Experimental

No Package No Dependents

Maintenance 13 / 25

Adoption 0 / 25

Maturity 9 / 25

Community 0 / 25

Stars

—

Forks

—

Language

Python

License

MIT

Category

Last pushed

Mar 13, 2026

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/transformers/anisderoual/Document_Archiver_Korean-NLP_BERTClustering"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

webis-de/small-text

Active Learning for Text Classification in Python

MaartenGr/BERTopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

mead-ml/mead-baseline

Deep-Learning Model Exploration and Development for NLP

x-tabdeveloping/turftopic

Robust and fast topic models with sentence-transformers.

HumanSignal/label-studio-transformers

Label data using HuggingFace's transformers and automatically get a prediction service