Several of the examples in the Netskope Library with Word Clouds visualization are for Justification. As these are largely user-generated, they tend to be nearly universally unique. Has there been any consideration of tokenizing these into either individual words (discarding filler words) or shorter phrases? A drill-in on these could then expose the justifications that contain the selected word/phrase.
Yes! We've played around with this in the past. Specifically, we have looked at creating custom dimensions to summarize the justification reasons based on common appearance of wording. For example, we would look for phrases like "tax", "w-2", "personal", "n/a", "not applicable", "enter justification reason here" and so on. Here is the logic I've used in the past if you want to leverage it: