flair
A simple Python framework for state-of-the-art natural language processing (NLP) tasks like named entity recognition and sentiment analysis.
What is flair?
Flair is a Python framework for natural language processing that provides state-of-the-art models for tasks like named entity recognition, sentiment analysis, and part-of-speech tagging. It solves the problem of applying advanced NLP techniques without complex setup, offering pre-trained models and a flexible training framework. The library supports multiple languages and specialized domains like biomedical text analysis.
NLP researchers, data scientists, and developers who need high-performance text analysis tools for applications ranging from general language processing to specialized domains like healthcare.
Developers choose Flair for its combination of simplicity and cutting-edge accuracy, with easy-to-use APIs, strong multilingual support, and the ability to train custom models using its PyTorch foundation.
Overview
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Use Cases
Best For
- Named entity recognition in multiple languages
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