Advanced Natural Language Processing with Apache Spark NLP

May 26, 2021 03:15 PM (PT)

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This hands-on deep-dive session uses the open-source Apache Spark NLP library to explore advanced NLP in Python. Apache Spark NLP provides state-of-the-art accuracy, speed, and scalability for language understanding by delivering production-grade implementations of some of the most recent research in applied deep learning. Apache Spark NLP is the only open-source NLP library that can natively scale to use any Apache Spark cluster, as well as take advantage of the latest processors from Intel and Nvidia. It’s the most widely used NLP library in the enterprise today.

You’ll edit and run executable Python notebooks as we walk through these common NLP tasks: document classification, named entity recognition, sentiment analysis, spell checking and correction, grammar understanding, question answering, and translation. The discussion of each NLP task includes the latest advances in deep learning and transfer learning used to tackle it – from the hundreds of BERT-based embeddings to models based on the T5 transformer, MarianNMT, multilingual and domain-specific models.

In this session watch:
David Talby, Chief Technology Officer, John Snow Labs

 

David Talby

David Talby is a chief technology officer at John Snow Labs, helping healthcare & life science companies put AI to good use. David is the creator of Spark NLP – the world’s most widely used natura...
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