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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

Understanding the TweetHandler class

The TweetHandler class holds information about a specific tweet. It takes the raw JSON tweet and extracts those parts that are relevant to the application's needs. It also possesses the methods to process the tweet's text such as converting the text to lowercase and removing tweets that are not relevant. The first part of the class is shown next:

public class TweetHandler { 
    private String jsonText; 
    private String text; 
    private Date date; 
    private String language; 
    private String category; 
    private String userName; 
    ... 
    public TweetHandler processJSON() { ... } 
    public TweetHandler toLowerCase(){ ... } 
    public TweetHandler removeStopWords(){ ... }     
    public boolean isEnglish(){ ... }     
    public boolean containsCharacter(String character) { ... }        
    public void computeStats(){ ... } 
    public void buildSentimentAnalysisModel{ ... } 
    public TweetHandler performSentimentAnalysis...
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