John Snow Labs’ Spark NLP is an open source text processing library for Python, Java, and Scala.
It provides production-grade, scalable, and trainable versions of the latest research in
natural language processing.
Spark NLP was 80x faster than spaCy to train locally on 2.6MB of data.
Scale to a Spark cluster with zero code changes.
First production-grade versions of novel deep learning NLP research.
Use pre-trained models to train to fit your data.
Widely deployed production-grade codebase.
New releases every 2 weeks since 2017.
Growing community.
“AI Adoption in the Enterprise”, Survey of 1300 Practitioners by O’Reilly, Published February 2019. The 2020 survey reproduced the same outcome.
Spark NLP delivered the best performing results on academic peer-reviewed benchmarks.
Zero code changes are needed to scale a pipeline to any spark cluster.
Optimized builds for the latest Intel & Nvidia chips enable the fastest training & tuning of state-of-the-art models.
Spark NLP is optimized for training domain-specific NLP models, so you can adapt it to learn the nuances of jargon and documents you must support.
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