Book Image

Mastering Spark for Data Science

By : Andrew Morgan, Antoine Amend, Matthew Hallett, David George
Book Image

Mastering Spark for Data Science

By: Andrew Morgan, Antoine Amend, Matthew Hallett, David George

Overview of this book

Data science seeks to transform the world using data, and this is typically achieved through disrupting and changing real processes in real industries. In order to operate at this level you need to build data science solutions of substance –solutions that solve real problems. Spark has emerged as the big data platform of choice for data scientists due to its speed, scalability, and easy-to-use APIs. This book deep dives into using Spark to deliver production-grade data science solutions. This process is demonstrated by exploring the construction of a sophisticated global news analysis service that uses Spark to generate continuous geopolitical and current affairs insights.You will learn all about the core Spark APIs and take a comprehensive tour of advanced libraries, including Spark SQL, Spark Streaming, MLlib, and more. You will be introduced to advanced techniques and methods that will help you to construct commercial-grade data products. Focusing on a sequence of tutorials that deliver a working news intelligence service, you will learn about advanced Spark architectures, how to work with geographic data in Spark, and how to tune Spark algorithms so they scale linearly.
Table of Contents (22 chapters)
Mastering Spark for Data Science
Credits
Foreword
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

A Small Step into sarcasm detection


Detecting sarcasm is an active area of research (http://homes.cs.washington.edu/~nasmith/papers/bamman+smith.icwsm15.pdf). In fact, detecting sarcasm is often not easy for humans, so how can it be easy for computers? If I say "We will make America great again"; without knowing me, observing me, or hearing the tone I'm using, how could you know if I really meant what I said? Now, if you were to read a tweet from me that says "We will make America great again :(:(:(", does it help in a sense?

Building features

We believe that sarcasm cannot be detected using plain English text only, especially not when the plain text fits into less than 140 characters. However, we showed in this chapter that emojis can play a major role in the definition of emotion. A naive assumption is that a tweet with both positive sentiment and negative emojis can potentially lead to sarcasm. In addition to the tone, we also found that some words were closer to some ideas/ideologies that...