iPieter/RobBERT
A Dutch RoBERTa-based language model
This project offers a powerful tool for anyone working with Dutch text, enabling various language understanding tasks. It takes raw Dutch text as input and helps you extract insights like sentiment, emotions, or named entities, or even predict missing words. Dutch-speaking data scientists, researchers, or NLP practitioners can use this to build advanced text analysis applications.
207 stars. No commits in the last 6 months.
Use this if you need to perform advanced natural language processing tasks on Dutch text, such as classifying sentiment, detecting emotions, identifying named entities, or resolving coreferences.
Not ideal if your primary need is for a pre-built, ready-to-use application rather than a foundational model that requires further customization and development.
Stars
207
Forks
28
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Apr 08, 2024
Commits (30d)
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