Book Image

Practical Data Analysis - Second Edition

By : Hector Cuesta, Dr. Sampath Kumar
Book Image

Practical Data Analysis - Second Edition

By: Hector Cuesta, Dr. Sampath Kumar

Overview of this book

Beyond buzzwords like Big Data or Data Science, there are a great opportunities to innovate in many businesses using data analysis to get data-driven products. Data analysis involves asking many questions about data in order to discover insights and generate value for a product or a service. This book explains the basic data algorithms without the theoretical jargon, and you’ll get hands-on turning data into insights using machine learning techniques. We will perform data-driven innovation processing for several types of data such as text, Images, social network graphs, documents, and time series, showing you how to implement large data processing with MongoDB and Apache Spark.
Table of Contents (21 chapters)
Practical Data Analysis - Second Edition
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface

Counting the most common words in tweets


In this example, we will develop a simple application that counts the number of occurrences of each word in positive tweets. First, we will split each tweet into words. Then we remove all the URLs (http://...) and twitter users (@...). Next, we will remove all the words with three or less characters (like the, why, she, him, and so on). Finally, the counting word frequencies. In the following code, we can see the JavaScript map function spliting words from tweets:

function(){    
    this.text.split(' ').forEach(         
         function(word){            
            var txt = word.toLowerCase();            
            if(!(/^@/).test(txt) &&                  
                  txt.length >= 3 &&               
               !(/^http/).test(txt)){                   
                   emit(txt,1)            
            }        
        }}

The input will look like this:

'text': '@SomeUsr After using LaTeX a lot any other typeset...