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Scala and Spark for Big Data Analytics

You're reading from   Scala and Spark for Big Data Analytics Explore the concepts of functional programming, data streaming, and machine learning

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781785280849
Length 796 pages
Edition 1st Edition
Languages
Concepts
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Authors (2):
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Sridhar Alla Sridhar Alla
Author Profile Icon Sridhar Alla
Sridhar Alla
Md. Rezaul Karim Md. Rezaul Karim
Author Profile Icon Md. Rezaul Karim
Md. Rezaul Karim
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Table of Contents (19) Chapters Close

Preface 1. Introduction to Scala FREE CHAPTER 2. Object-Oriented Scala 3. Functional Programming Concepts 4. Collection APIs 5. Tackle Big Data – Spark Comes to the Party 6. Start Working with Spark – REPL and RDDs 7. Special RDD Operations 8. Introduce a Little Structure - Spark SQL 9. Stream Me Up, Scotty - Spark Streaming 10. Everything is Connected - GraphX 11. Learning Machine Learning - Spark MLlib and Spark ML 12. My Name is Bayes, Naive Bayes 13. Time to Put Some Order - Cluster Your Data with Spark MLlib 14. Text Analytics Using Spark ML 15. Spark Tuning 16. Time to Go to ClusterLand - Deploying Spark on a Cluster 17. Testing and Debugging Spark 18. PySpark and SparkR

Word2Vec

Word2Vec is a sophisticated neural network style natural language processing tool and uses a technique called skip-grams to convert a sentence of words into an embedded vector representation. Let's look at an example of how this can be used by looking at a collection of sentences about animals:

  • A dog was barking
  • Some cows were grazing the grass
  • Dogs usually bark randomly
  • The cow likes grass

Using neural network with a hidden layer (machine learning algorithm used in many unsupervised learning applications), we can learn (with enough examples) that dog and barking are related, cow and grass are related in the sense that they appear close to each other a lot, which is measured by probabilities. The output of Word2vec is a vector of Double features.

In order to invoke Word2vec, you need to import the package:

import org.apache.spark.ml.feature.Word2Vec

First, you...

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