inception-project/inception-external-recommender

Get annotation suggestions for the INCEpTION text annotation platform from spaCy, Sentence BERT, scikit-learn and more. Runs as a web-service compatible with the external recommender API of INCEpTION.

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Established

This project provides automatic annotation suggestions for text within the INCEpTION platform. It takes raw or partially annotated text as input and suggests classifications like named entities, parts-of-speech, or sentence types, making the annotation process faster and more consistent. It is designed for text annotators, researchers, and data scientists who use INCEpTION for linguistic analysis, data labeling, or corpus creation.

Use this if you are an INCEpTION user who needs to accelerate the manual annotation of large text datasets and ensure consistency across annotators.

Not ideal if you are looking for a standalone text analysis tool or need to annotate data outside of the INCEpTION environment.

text-annotation linguistic-analysis data-labeling corpus-creation NLP-workflow
No Package No Dependents
Maintenance 13 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 20 / 25

How are scores calculated?

Stars

48

Forks

23

Language

Python

License

Apache-2.0

Last pushed

Mar 26, 2026

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/inception-project/inception-external-recommender"

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