How to Create a Twitter Word Cloud With MonkeyLearn

A word cloud (tag cloud) is a visual representation of the most important keywords in a text. Words and phrases within the cloud are displayed from small to large, depending on how often they appear. 

They’re pretty neat because they allow you to do a quick and simple analysis of your Twitter data, and get an overview of what’s being mentioned most often in your feed. See for yourself – just upload or paste your text into MonkeyLearn’s free word cloud generator.

You can create word clouds with almost any data source, like online reviews, customer surveys, news articles, etc. But one of the most popular and most useful – to keep your finger on the pulse of the public – is with Twitter data.

Search through thousands of tweets in minutes to find out what users are saying about your company and your products.

MonkeyLearn’s AI-powered word cloud generator performs beyond the simple analysis of Twitter’s own word cloud bot, allowing you to delve more deeply into your findings. And with advanced tools, like sentiment analysis, MonkeyLearn will ensure you get the most out of your data.

Follow along to learn how to create a Twitter word cloud in four simple steps.

Tutorial on How to Create a Word Cloud With Twitter Data

1. Upload your Twitter data to the word cloud generator

Go to the word cloud generator, click ‘Upload text file’, and choose your text file. For this tutorial, we used a .CSV file containing tweets about Zoom. You can also copy and paste, or enter your own text directly in the box. 

NOTE: You may want to clean your data within your text file before uploading to remove special characters, URL links, etc. Or in this example, tweets that use the word “zoom” for something other than the application. 

Sometimes this is irrelevant (e.g., links are likely to only appear once and won’t affect your word cloud). Or sometimes links may be entirely relevant to your analysis. 

You can also clean data once the file has been uploaded (see below).

2. Click ‘Generate word cloud’

Your data will be processed automatically and output your word cloud in seconds.

The words appear large to small, depending on how often they appear in the text. The column on the right shows the number of appearances and relevance to the text as a whole.

See how MonkeyLearn’s advanced algorithms have grouped phrases, like “home android user,” and “trojanized zoom apps,” providing you with more context than single words.

You can click ‘Edit Text’ in the upper left corner to return to the text box and edit your text directly in the app.

3. Customize your word cloud

Choose a background theme, change the font color, or refresh the page to change the shape of the word grouping within your cloud.

Slide the ‘Words Quantity’ bar in the upper right to increase or decrease the number of words that appear in your cloud:

4. Download your Twitter Insights

Click ‘Download’ to save your word cloud as a high-def .PNG or .SVG image:

Or download a .CSV file to show the frequency and relevancy of each word:

Get Insights From Your Tweet Cloud

Word clouds are a great way to visualize the importance of individual words and phrases and detect trends in your Twitter analysis. 

They can be particularly helpful, for example, to quickly and clearly illuminate the importance of keywords to your employees or investors. Or try comparing two sets of Twitter data to see how keywords for your company contrast with your competition’s.

Although powerful in its own right, a word cloud is one of the more basic text analysis techniques. If you want to see some Twitter analysis techniques that are more advanced (but still easy to use), you can try MonkeyLearn’s suite of machine learning tools for free:

We have popular integrations in Excel, Zapier, Zendesk, Front, and more. You can even connect our tools directly in Google Sheets with our Google text analysis add-on. Or with APIs in Python, Ruby, PHP, Node, and Java.

Wrap Up

Creating a tweet cloud is easy and can be helpful for a straightforward visualization of recurring words and phrases from thousands of tweets. Word clouds can also be created with text from other social media platforms, online reviews, customer surveys, etc.

Text analysis with MonkeyLearn is easy and can be set up in just a few minutes. Go beyond word clouds and learn about all the amazing tools you can use to get more from your data. 

Sign up to MonkeyLearn for free to try out the rest of our powerful AI tools.

Inés Roldós

Inés Roldós

Marketing @MonkeyLearn. Business Administration student.

Notification

Have something to say?

Text Analysis with Machine Learning

Turn tweets, emails, documents, webpages and more into actionable data. Automate
business processes and save hours of manual data processing.