README.md

HOW TO CREATE A CUSTOM WORD CLOUD WITH TWITTER DATASET
By using Python and WordCloud library

A Word Cloud or Tag Cloud is a graphical representation of word frequency within a text: the more often a word is used in a text, the bigger and bolder it is represented in a graph. It can be a useful tool to communicate at a glance the most important keywords in a particular text or topic in a effective and fun way.

In this tutorial we will create a Word Cloud from a sample of nameless tweets extracted from Twitter for the period 3/16/2020 - 08/31/2020 in Peru. The dataset was modificated to respect Twitter private information policy and is used just as an example to show how to create a Word Cloud.

Table of contents

We will do different examples of Word Clouds by using the following steps:

1. Install packages and import libraries
2. Import the dataset, clean it up and select the text you are going to work with (tweets)
3. Perform the text preprocessing and create a clean variable
4. Create your Word Cloud:
   • Example 1: Default model
   
   

   

   • Example 2: Default model - customize parameters
   
   

   

   • Example 3: Customize shapes
   
   

   

   • Example 4: Customize colors - set multiple colors with a mask
   
   

   

   • Example 5: Customize colors - set a single color with a mask
   
   

   

   • Example 6: Customize colors - set multiple colors with a function
   
   

   

   • Example 7: Customize content - set repeated words

   

   • Example 8: Customize content - set non-repeated words
   
   

   

5. Finally, you can review Bibliography to look for more information..