Create Free Tag Clouds with AI Tools

A tag cloud, also known as a word cloud or wordle, or wordle, is a visual representation of the most popular words (or tags) in free-form text data. Each tag, single word, or collocation will vary in size depending on its importance. 

Tag cloud tools, like MonkeyLearn WordCloud Generator, are great for getting started with text analysis,.

They provide high-level insights at a glance and can lead to more in-depth analyses.

Let’s dive into some tag cloud examples, to help you understand how they can deliver valuable insights.

Examples of Tag Clouds in Business

Tag Clouds for Customer Reviews

Maybe you receive thousands of customer support tickets at work and want to know what customers are complaining about most. First, you could use a tag cloud to immediately spot the topics customers are mentioning most often, but you’d also need to combine your tag cloud with sentiment analysis to see which topics are being mentioned negatively

This tag cloud shows the topics mentioned most often in Zoom reviews:

A tag cloud of Zoom reviews created using MonkeyLearn's word cloud generator.

At a glance, the words meeting and screen sharing options are most prominent. Other words worth noting are bad services, installation process, flawless streaming,and technical issues, providing some context into how customers feel about these topics.

However, with sentiment analysis tools, you can dig even deeper into frequently mentioned topics. Let’s hone in on the negative mentions around the topic meeting:

MonkeyLearn Studio dasboard showing a detailed sentiment analysis of the topic 'meeting'

Here, you can start to see why topics are mentioned, and more specifically customers’ pain points: reliability and usability. In this dashboard from MonkeyLearn Studio, Zoom users often mention the word free (23 times) in negative comments about meetings. Diving deeper into the analysis, we can what exactly users are complaining about: time limitations for meetings on the free plan.

Insights like these can help you make important decisions about your product road map, as well as help support teams prioritize issues.

Tag Clouds for Survey Responses

When customers answer your surveys, the biggest source of insights can be found in their responses to open-ended questions. Here, they will tell you in detail what they like or don’t like about your product or service.

By creating a tag cloud from survey responses, you can easily gauge what features or product details your customers mention most often.

For example, in survey responses about Slack, customers often mention search features, search functionality, mobile app (among the more obvious words like chat, conversation, and group chat). This suggests that these features are important to customers.

a Tag cloud for survey responses about Slack

For further survey analysis of your qualitative data, you’ll need to combine tag cloud analysis with more advanced text analysis tools.

Tag Clouds for Customer Feedback

The customer feedback you receive after a new feature or product launch helps you understand if it was successful or not, and if there are issues that need urgent attention.

Users who often leave instant feedback on social media, which you can transform into a tag cloud.

Here’s a tag cloud from a set of tweets about MailChimp and their newest feature: the Subject Line Helper.

Tag cloud showing the most popular words in a set of tweets about MailChimp

The word features is most prominent. Looking at related words found in these reviews, like cool new features and shit features, it’s clear that customers are on the fence about MailChimp’s new feature. 

Create Tag Clouds with MonkeyLearn WordCloud Generator

There are several online tools you can use to create tag clouds in seconds.

But we recommend using MonkeyLearn's Word Cloud Generator, a free AI-powered tool that makes tag cloud creation extremely easy.

How to create a tag cloud:

1. Upload your data to the tag cloud tool

Type, paste, or upload the text data you want to use to create your tag cloud. For this example, we are using Asana reviews from Capterra, copied, and pasted into the tool.

tag cloud tool showing text data input field

2. Generate your tag cloud

Click on the ‘Generate Cloud’ button to visualize your results.

Tag cloud results

3. Customize your tag cloud

Personalize your tag cloud by changing theme, color, font, and set a word limit for your tag cloud. You can also edit the original text.

Tag cloud interface, showing the word cloud and the toolbar to customize tag clouds.

4. Download your tag cloud

Download your tag cloud in high-def .SVG, and .PNG images. Also, download your raw data in a .CSV file.

Final tag cloud after customization. Background is black with blue, green and red font color

Your tag cloud is ready! 

Now that you know how to create a tag cloud, let’s dive into several tag examples to help you understand how tag clouds can deliver valuable insights.

Final Words on Tag Clouds

Tag cloud creators give you the means to visualize business data and reveal insights at a glance.   

Have a go at creating your own with MonkeyLearn's Word Cloud Tool.

Even though tag clouds are a great source of insights, they're just a starting point on your text analysis journey. MonkeyLearn offers more advanced text analysis techniques, which you can use to transform your insights into actionable data: 

If you're interested in performing some of these advanced techniques, [sign up to MonkeyLearn for free] or or request a demo to see how you can gain insights like these

Rachel Wolff

March 25th, 2020