John Snow Labs: State-of-the-art NLP in Python

The John Snow Labs library provides a simple & unified Python API for delivering enterprise-grade natural language processing solutions:

1. 15,000+ free NLP models in 250+ languages in one line of code. Production-grade, Scalable, trainable, and 100% open-source.
2. Open-source libraries for Responsible AI (NLP Test), Explainable AI (NLP Display), and No-Code AI (NLP Lab).
3. 1,000+ healthcare NLP models and 1,000+ legal & finance NLP models with a John Snow Labs license subscription.

Homepage: https://www.johnsnowlabs.com/

Docs & Demos: https://nlp.johnsnowlabs.com/

Features

Powered by John Snow Labs Enterprise-Grade Ecosystem:

• 🚀 Spark-NLP : State of the art NLP at scale!
• 🤖 NLU : 1 line of code to conquer NLP!
• 🕶 Visual NLP : Empower your NLP with a set of eyes!
• 💊 Healthcare NLP : Heal the world with NLP!
• ⚖ Legal NLP : Bring justice with NLP!
• 💲 Finance NLP : Understand Financial Markets with NLP!
• 🎨 NLP-Display Visualize and Explain NLP!
• 📊 NLP-Test : Deliver Reliable, Safe and Effective Models!
• 🔬 NLP-Lab : No-Code Tool to Annotate & Train new Models!

Installation

! pip install johnsnowlabs

from johnsnowlabs import nlp
nlp.load('emotion').predict('Wow that easy!')

See the documentation for more details.

Usage

These are examples of getting things done with one line of code. See the General Concepts Documentation for building custom pipelines.

# Example of Named Entity Recognition
nlp.load('ner').predict("Dr. John Snow is an British physician born in 1813")

Returns :

# Example of Question Answering 
nlp.load('answer_question').predict("What is the capital of Paris")

Returns :

# Example of Sentiment classification
nlp.load('sentiment').predict("Well this was easy!")

Returns :

nlp.load('ner').viz('Bill goes to New York')

Returns:
For a full overview see the 1-liners Reference and the Workshop.

Use Licensed Products

To use John Snow Labs' paid products like Healthcare NLP, [Visual NLP], [Legal NLP], or [Finance NLP], get a license key and then call nlp.install() to use it:

! pip install johnsnowlabs
# Install paid libraries via a browser login to connect to your account
from johnsnowlabs import nlp
nlp.install()
# Start a licensed session
nlp.start()
nlp.load('en.med_ner.oncology_wip').predict("Woman is on  chemotherapy, carboplatin 300 mg/m2.")

Usage

These are examples of getting things done with one line of code. See the General Concepts Documentation for building custom pipelines.

# visualize entity resolution ICD-10-CM codes 
nlp.load('en.resolve.icd10cm.augmented')
    .viz('Patient with history of prior tobacco use, nausea, nose bleeding and chronic renal insufficiency.')

returns:

# Temporal Relationship Extraction&Visualization
nlp.load('relation.temporal_events')\
    .viz('The patient developed cancer after a mercury poisoning in 1999 ')

returns:

Helpful Resources

Take a look at the official Johnsnowlabs page page: https://nlp.johnsnowlabs.com for user documentation and examples

License

This library is licensed under the Apache 2.0 license. John Snow Labs' paid products are subject to this End User License Agreement.
By calling nlp.install() to add them to your environment, you agree to its terms and conditions.