NRCan/geoscience_language_models

GloVe and BERT language models re-trained using geoscientific text.

39
/ 100
Emerging

This project provides specialized language models to help geoscientists analyze and understand large volumes of text. It takes raw geoscientific documents, like those from the GEOSCAN database, and produces models that can identify domain-specific terms and concepts. Geologists, prospectors, and researchers can use these models to improve tasks like geological mapping and mineral prospectivity modeling.

No commits in the last 6 months.

Use this if you need to extract meaningful information, classify geological concepts, or enhance predictive text applications specifically within the geoscience domain.

Not ideal if your text analysis needs are for general language understanding outside of geology or if you primarily work with non-textual data.

geological-mapping mineral-exploration geoscience-research text-analysis scientific-literature
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 16 / 25

How are scores calculated?

Stars

30

Forks

6

Language

Jupyter Notebook

License

MIT

Last pushed

Jan 24, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/NRCan/geoscience_language_models"

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