What is Flair?
Flair allows you to apply our state-of-the-art natural language processing (NLP) models to your text, such as named entity recognition (NER), part-of-speech tagging (PoS), sense disambiguation and classification.
Flair is a tool in the NLP / Sentiment Analysis category of a tech stack.
Flair is an open source tool with 11K GitHub stars and 1.8K GitHub forks. Here’s a link to Flair's open source repository on GitHub
Who uses Flair?
12 developers on StackShare have stated that they use Flair.
Pros of Flair
- A powerful NLP library
- A text embedding library
- A PyTorch NLP framework
Flair Alternatives & Comparisons
What are some alternatives to Flair?
See all alternatives
Hogan.js is a 3.4k JS templating engine developed at Twitter. Use it as a part of your asset packager to compile templates ahead of time or include it in your browser to handle dynamic templates.
Keen is a powerful set of API's that allow you to stream, store, query, and visualize event-based data. Customer-facing metrics bring SaaS products to the next level with acquiring, engaging, and retaining customers.
It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.
rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.
It is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.