Evaluation tool – Word clouds

Analysis technique – Word clouds

What is this tool?

Word clouds are a fun and useful way to easily visualise common themes from data provided by participants in their own words.

What kind of activities can I evaluate with it?

Though not technically a detailed analysis technique, word clouds allow you to easily identify data patterns from participants responses. They are straightforward for anyone to use, making them particularly useful if you haven’t used much qualitative data before.

When should I use it?

This tool will help you analyse your data after an event.

What do I need?

  • A file containing the responses provided by your participants
  • Access to a computer and the internet.

There are plenty of free resources to create your own word clouds available online; two of the best are: https://www.wordclouds.com and http://www.wordle.net

Let’s get started…

Before we start, there are a few important things to know about word clouds:

• There are a lot of different online tools for creating word clouds available, each with slightly different functionality. Some work better with different computer platforms, or different language inputs, or different types of text inputs, so if one doesn’t do what you want then try another.

• Note that certain versions limit how much text they actually use in the output they display, or may not be capable of more advanced editing / calculation functions. So it’s important to think of them as a “tool” (whose output needs to be checked) rather than a “brain” of their own.

• They typically produce a visual image from a given text input, with the size of each word corresponding to how frequently it appears within the text.

• Most word cloud programmes use “stop words”; these are common words (like “and” and “the”) which are automatically removed from the analysis. You can often adjust the stop words if you need to.
There are plenty of free resources to create your own word clouds available online; two of the best are: www.wordclouds.com and www. wordle.net

Brief instructions on how to use a word cloud for analysis.

1. If you haven’t already, save your data to a file or have it in a format you can easily cut & paste from.

2. Edit your data as described in the Preparing Your Data section, to remove errors and duplicates.

3. Open the word cloud generator you’ve chosen to use; in this case we’ll use wordclouds.com. Click on ‘File’ to upload your data (choose whichever option best suits how you have saved the data) or copy and paste your data directly into the software.

4. Select a word orientation (indicated by the symbol), shape, theme, colours and font to suit your own preferences (in this example we’ve gone for horizontal writing within a circle shape with a colourful theme in Verdana font). The resulting output displays each word sized according to its frequency; the larger the word the more common it is within our text sample (the colour variation is random). The initial output from our example data file therefore looks as follows:

[Caption: ‘Raw Data’ output using data from the hypothetical Europlanet for Schools website.]

Check that all the words from the data set are included in the word cloud. As highlighted in the top left corner of this example, 1 word was not drawn – the software programme decided it was too large to fit on the screen at the current level of detail. If this happens, we need to shrink the word cloud display to include ALL of the words that it has identified – we do this by adjusting the slider bar towards the top of the page. Keep adjusting it until all the words are included – in this case at a setting of around 40.

The ‘missing word’ is now included, though the overall size of the cloud is now smaller than in the first image. (You may need to shrink the word cloud again to include all the words as per step 1).

[Caption: Final word cloud, with shrunken display size to allow all words to be shown]

This is as far as many users will want to go – the resulting word cloud is accurate enough for most purposes, and provides a great visual interpretation of the data.

What do I do with my data now?

The word cloud using the Europlanet for Schools example was a quick and easy way to understand teachers’ common reactions to the website. It is clear that the top two reactions from teachers were that it was ‘informative’ and ‘useful’, with many other positive words also being popular (“interesting”, “comprehensive”, “exciting”, “inspiring”, “accessible”). This image could be used in a report to a funder or an update to the project team working on the Europlanet for Schools website, to quickly highlight teachers’ main reactions.

How can I take this further?

Further insights on people’s reactions can be gained through a technique called thematic coding, described in the next section.

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