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How to Wrap Your Head Around Spark NLP

Welcome to the second part of the Spark NLP article. In the first part, the objective was to present an ice breaker for NLP practitioners and warm-up minds towards Spark NLP. The strongest bias against any Spark-based library comes from the school of thought that states “Spark code is a bit different than your regular Python script”. To fight this prejudice, learning strategies were shared, and if you have followed them, you are ready for the next level.

Big Data Analysis of Meetup Events using Spark NLP, Kafka and Vegas Visualization

Finding trending Meetup topics using Streaming Data, Named Entity Recognition and Zeppelin Notebooks — a tale of a super enthusiastic working group...