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Spark NLP Blog

State of the Art Natural Language Processing at Scale.

The latest major release merges 50 pull requests, improving accuracy and ease and use Release Highlights When we first introduced the natural language processing library for Apache Spark 18 months...

O’Reilly survey of 1,300 enterprise practitioners ranks Spark NLP as the most widely used AI library in the enterprise after TensorFlow, scikit-learn, keras, and PyTorch. NLP Adoption in the Enterprise...

Natural language processing is a key component in many data science systems that must understand or reason about text. Common use cases include question answering, paraphrasing or summarization, sentiment analysis,...

This article is a walkthrough of solving a realistic use case of natural language understanding in healthcare using Spark NLP Deep Learning