Book Image

Java for Data Science

By : Richard M. Reese, Jennifer L. Reese
Book Image

Java for Data Science

By: Richard M. Reese, Jennifer L. Reese

Overview of this book

para 1: Get the lowdown on Java and explore big data analytics with Java for Data Science. Packed with examples and data science principles, this book uncovers the techniques & Java tools supporting data science and machine learning. Para 2: The stability and power of Java combines with key data science concepts for effective exploration of data. By working with Java APIs and techniques, this data science book allows you to build applications and use analysis techniques centred on machine learning. Para 3: Java for Data Science gives you the understanding you need to examine the techniques and Java tools supporting big data analytics. These Java-based approaches allow you to tackle data mining and statistical analysis in detail. Deep learning and Java data mining are also featured, so you can explore and analyse data effectively, and build intelligent applications using machine learning. para 4: What?s Inside ? Understand data science principles with Java support ? Discover machine learning and deep learning essentials ? Explore data science problems with Java-based solutions
Table of Contents (19 chapters)
Java for Data Science
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

Defining the purpose and scope of our application


The application will prompt the user for a set of selection criteria, which include topic and sub-topic areas, and the number of tweets to process. The analysis performed will simply compute and display the number of positive and negative tweets for a topic and sub-topic. We used a generic sentiment analysis model, which will affect the quality of the sentiment analysis. However, other models and more analysis can be added.

We will use a Java 8 stream to structure the processing of tweet data. It is a stream of TweetHandler objects, as we will describe shortly.

We use several classes in this application. They are summarized here:

  • TweetHandler: This class holds the raw tweet text and specific fields needed for the processing including the actual tweet, username, and similar attributes.

  • TwitterStream: This is used to acquire the application's data. Using a specific class separates the acquisition of the data from its processing. The class possesses...