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  4. Natural Language Processing With Apache Spark

Natural Language Processing With Apache Spark

This article focuses on natural language processing (text munging and machine learning) on the Apache Spark platform.

Tim Spann user avatar by
Tim Spann
CORE ·
Feb. 23, 16 · Opinion
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There are a lot of exciting things going on in Natural Language Processing (NLP) in the Apache Spark world.   There's a ton of libraries and new work going on in OpenNLP and StanfordNLP.   

There's a lot of interesting applications that can be done using NLP and large sources of text, a few notes, presentations and code examples that follow will be helpful.

The last few Apache Spark Summit's have produced some great talks on NLP.

  • Non-Text and NLP

  • From NBCU, is this cool talk on Use of Spark MLib for Predicting the Offlining of Digital Media

  • NLP on a Billion Documents: Scalable Machine Learning with Apache Spark using Python

From the Advanced Apache Spark Meetup in San Francisco, there were a ton of great documents and source code:

  • Word2Vec

  • MLlib with Word2Vec

  • Stanford NLP (CoreNLP)

  • Spark CoreNLP

  • Using Apache Spark for Massive NLP

  • Spark Succinct Meetup Presentation

  • NLP/Advanced Spark Meetup Slides

  • Word2Vec Meetup

  • Advanced Apache Meetup Notes

  • OpenNLP 

  • Dictonary Based Anotation @ Scale

  • Spark CoreNLP

NLP Apache Spark Processing

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