flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Apply advanced language processing techniques to your text, like sentiment analysis and entity recognition.
From the README
pip install flair
- Tutorial 1: Basic tagging → how to tag your text
- Tutorial 2: Training models → how to train your own state-of-the-art NLP models
- Tutorial 3: Embeddings → how to produce embeddings for words and documents
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytimeA very simple framework for state-of-the-art Natural Language Processing (NLP)
flair has 14.4k stars on GitHub. It has been forked 2.1k times. flair is written mainly in Python. It has been in active development since 2018. Its main topics are machine-learning, named-entity-recognition, natural-language-processing, nlp.
What is flair?
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Is flair open source?
flair is an open-source project.
Is flair free?
Yes. flair is free and open source — you can use, modify and self-host it.
What language is flair written in?
flair is written mainly in Python.
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