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Apache Spark for Data Science Cookbook

You're reading from   Apache Spark for Data Science Cookbook Solve real-world analytical problems

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Product type Paperback
Published in Dec 2016
Publisher
ISBN-13 9781785880100
Length 392 pages
Edition 1st Edition
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Authors (2):
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Padma Priya Chitturi Padma Priya Chitturi
Author Profile Icon Padma Priya Chitturi
Padma Priya Chitturi
Nagamallikarjuna Inelu Nagamallikarjuna Inelu
Author Profile Icon Nagamallikarjuna Inelu
Nagamallikarjuna Inelu
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Table of Contents (11) Chapters Close

Preface 1. Big Data Analytics with Spark 2. Tricky Statistics with Spark FREE CHAPTER 3. Data Analysis with Spark 4. Clustering, Classification, and Regression 5. Working with Spark MLlib 6. NLP with Spark 7. Working with Sparkling Water - H2O 8. Data Visualization with Spark 9. Deep Learning on Spark 10. Working with SparkR

Chapter 6. NLP with Spark

In this chapter, we will see how to run NLP algorithms over Spark. You will learn the following recipes:

  • Installing NLTK on Linux
  • Installing Anaconda on Linux
  • Anaconda for cluster management
  • POS tagging with PySpark on an Anaconda cluster
  • Named Entity Recognition with IPython over Spark
  • Implementing openNLP - chunker over Spark
  • Implementing openNLP - sentence detector over Spark
  • Implementing stanford NLP - lemmatization over Spark
  • Implementing sentiment analysis using stanford NLP over Spark
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