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Comparing the Functionality of Open Source NLP Libraries

Natural language processing (NLP) is essential in a growing number of AI applications. Extracting accurate information from free text is a must if you are building a chatbot, searching through a patent database, matching patients to clinical trials, grading customer service or sales calls, extracting facts from financial reports or solving for any of these 44 use cases across 17 industries.

Comparing production-grade NLP libraries: Running Spark-NLP and spaCy pipelines

A step-by-step guide to building and running a natural language processing pipeline.