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Java for Data Science

You're reading from   Java for Data Science Examine the techniques and Java tools supporting the growing field of data science

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Product type Paperback
Published in Jan 2017
Publisher Packt
ISBN-13 9781785280115
Length 386 pages
Edition 1st Edition
Languages
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Authors (2):
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Jennifer L. Reese Jennifer L. Reese
Author Profile Icon Jennifer L. Reese
Jennifer L. Reese
Richard M. Reese Richard M. Reese
Author Profile Icon Richard M. Reese
Richard M. Reese
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Toc

Table of Contents (13) Chapters Close

Preface 1. Getting Started with Data Science FREE CHAPTER 2. Data Acquisition 3. Data Cleaning 4. Data Visualization 5. Statistical Data Analysis Techniques 6. Machine Learning 7. Neural Networks 8. Deep Learning 9. Text Analysis 10. Visual and Audio Analysis 11. Mathematical and Parallel Techniques for Data Analysis 12. Bringing It All Together

Data acquisition using Twitter

The Twitter API is used in conjunction with HBC's HTTP client to acquire tweets, as previously illustrated in the Handling Twitter section of Chapter 2, Data Acquisition. This process involves using the public stream API at the default access level to pull a sample of public tweets currently streaming on Twitter. We will refine the data based on user-selected keywords.

To begin, we declare the TwitterStream class. It consists of two instance variables, (numberOfTweets and topic), two constructors, and a stream method. The numberOfTweets variable contains the number of tweets to select and process, and topic allows the user to search for tweets related to a specific topic. We have set our default constructor to pull 100 tweets related to Star Wars:

public class TwitterStream { 
    private int numberOfTweets; 
    private String topic; 
 
    public TwitterStream() { 
        this(100, "Stars Wars"); 
    } 
 
    public TwitterStream(int numberOfTweets...
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