Word Clouds are a powerful way to visualise what your audience really thinks about the solution you have built. They are easy to read, quick to produce, and simple to understand. In this step, we will go over how to build a solution Word Cloud in Microsoft Power BI.
The final product should look like this:
This section assumes the Power BI Connector has been added and that you have a solution that is published and has generated conversational data. For this example, we will be using the Longberry Baristas solution, which is included in all free trials.
In order to create a Word Cloud, we will use Teneo Query Language to retrieve inputs from the user. This can be done in Inquire with the following steps:
It is now time to create our own query to catch every single input from the user. This will also be accommodated with a regex option to exclude empty inputs.
sample 1000 la t.e.userInput as 's:UserInput' : t.e.userInput ~= ".(\w.+\s).+". This will list every single input made by the user.
Word_Cloud. This will make sure other developers who have access to the solution can use the same query without having to re-create it.
The next step is to load the query that is created to Power BI together with the connector provided by Artificial Solutions. The method varies depending on which version of the connector you are using.
Power BI comes with a number of included visualizations that are widely used through different dashboards. While these provide a very good starting point, it is also possible to add more visualizations to your dashboard in order to cover all of your use cases. In our case, we will need to add the 'Word Cloud' visualization to our dashboard by doing the following:
Now that you have created the query and added the 'Word Cloud' visualization to your Power BI, it is time to display the results.
Congratulations, you have now created your own Word Cloud inside Power Bi, using data from your Teneo Solution!
Was this page helpful?