A tag cloud, also known as a word cloud or wordle, is a visual representation of word frequency in a text.
Tag cloud tools are for those who are starting out with text analysis, used to gain quick insights from any type of data, including online reviews, surveys, emails, and social media interactions. Try MonkeyLearn’s tag cloud creator to see if there are any quick insights you can extract from your data.
Then, dive into some tag cloud examples to help you understand how word clouds can deliver valuable insights.
If you work for a SaaS company and receive numerous customer support tickets, you could use a tag cloud to immediately spot the topics customers are mentioning most often. This insight can lead to further analysis of improvements that need to be made.
This tag cloud shows the topics mentioned most often in Zoom reviews:
At a glance, the words meeting, screen sharing options, _and _Skype _are most prominent. Other words worth noting are _bad services, installation process, flawless streaming, and technical issues.
These words give insight into what your customers think and feel about your brand. By passing them onto product and support teams, they’re able to dig deeper into customer pain points.
Here’s another word cloud that highlights the features that customers mention most often in reviews about management platform Asana:
Here, you can immediately see that task _and _task management platform _are mentioned most often, which makes sense. However, other words like _awesome free program, team harmony, due date issues, tracking support tickets, _and _useful features, hint at what is and isn’t working.
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. 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.
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.
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.
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 tool that makes creating word clouds extremely easy. Powered by AI and advanced algorithms, you can create word clouds with phrases.
To see how easy it is, follow this tutorial:
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.
Click on the ‘Generate Cloud’ button to visualize your results.
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.
Download your tag cloud in high-def .SVG, and .PNG images. Also, download your raw data in a .CSV file.
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.
Tag cloud creators give you the means to visualize business data and reveal quick insights.
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 and try our ready-to-use text analysis tools.
March 25th, 2020