+ 1

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 7.8K GitHub stars and 908 GitHub forks. Here’s a link to Flair's open source repository on GitHub

Who uses Flair?


Flair Integrations

Why developers like Flair?

Here’s a list of reasons why companies and developers use Flair
Top Reasons
Be the first to leave a pro

Flair Alternatives & Comparisons

What are some alternatives to Flair?
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.
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
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.
Google Cloud Natural Language API
You can use it to extract information about people, places, events and much more, mentioned in text documents, news articles or blog posts. You can use it to understand sentiment about your product on social media or parse intent from customer conversations happening in a call center or a messaging app. You can analyze text uploaded in your request or integrate with your document storage on Google Cloud Storage.
Amazon Comprehend
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to discover insights from text. Amazon Comprehend provides Keyphrase Extraction, Sentiment Analysis, Entity Recognition, Topic Modeling, and Language Detection APIs so you can easily integrate natural language processing into your applications.
See all alternatives

Flair's Followers
14 developers follow Flair to keep up with related blogs and decisions.
John Alton
Maziyar Panahi
Iraquitan Cordeiro Filho
Tamilvanan P
Jeroen Steggink
Terrence Kim
Nicolas Marshall