c) Quick Custom Label Analysis
a) Exclude Labels
In any of the tables containing labels, you can click on the three dots next to any label, and choose to exclude that label from the given dataset, or from all datasets.
Once you do that, that label will not show up anymore in any of the charts and tables in the analysis. This doesn’t delete the verbatims that had been labeled with the excluded label, and doesn’t remove the label from them either, but the label will not be included in the analysis.
If you’ve excluded a label but decide later that you need it again, don’t worry: you can easily include it by clicking on the three dots at the top left corner of the dashboard (next to the dataset’s name), and choosing ‘Excluded labels’. (Please note that this option only appears here when there are excluded labels in the dataset.)
In the popup window that appears, simply click on the X next to the label(s) you wish to include again, and then click ‘Apply’. If there are many excluded labels, you can also use the search bar to find the ones you need more easily.
b) Merge Labels
If you think two or more existing labels should be united into one bigger topic, it’s easy to do that. In any of the tables containing labels, click the three dots next to the label you want to merge with another, and click ‘Select topic for the new custom label’. Then, go to another label that you would like to merge with the first, and click ‘Create custom label from selected topics’. This opens up a Custom Label creation window, and the selected topics will already be in the phrase set, but you can add more phrases here if you’d like. If you need to merge more than two topics, you can repeat the first step until you’ve selected all the topics you need, and then continue in the same way.
c) Quick Custom Label Analysis
In the feed view, you can easily edit your Custom Labels by selecting any part of the text and adding it as a synonym or as an excluded phrase to any of your existing Custom Labels, or to a completely new one. The changes you make this way will be listed at the bottom of your screen, and from there you can run a quick reanalysis of your data by clicking ‘Reanalyze’ (or, if you don’t like the changes you made, you can also discard them here). The reanalysis will only involve these changes, so it will take much less time than a complete reanalysis.
