Spark NLP is a natural language processing library built on top of Apache Spark. It provides production-grade, scalable, and trainable pipelines for various NLP tasks such as tokenization, part-of-speech tagging, named entity recognition, sentiment analysis, and more. It is commonly used for processing large volumes of text data in enterprise settings, enabling tasks like information extraction, text classification, and building conversational AI systems.
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