User permissions required: ‘View Sources’ AND ‘View Labels’
Under the Trends tab there are six different charts available:
- Verbatim volume over time
- Tree map
- Label volume trends
- Top 10 highest volume leaf labels – chart
- Top 10 highest volume leaf labels – table
- Label trends
This page is particularly useful for reviewing how labels have changed over a given time period.
Verbatim volume over time
Monthly verbatim volume over time
You can adjust the time sequence (i.e. daily, weekly, monthly, annually) of the chart period using the dropdown at the top of the Reports page or filter the chart to a specific time series using the filter bar or by selecting an area on the chart. See instructions on how to do so here.
The tree map is a way of visually showing your taxonomy hierarchy, while also displaying quantities for each label via the area size.
Each root label is assigned a rectangular area with their leaf labels (sub-labels) displayed as rectangles nested inside of it. When a label count is assigned to a label, its area is displayed in proportion to that label count number and to the other quantities within the same parent category.
If you hover over a label name, it will highlight the label count and the percentage of verbatims that are predicted to have this label. The count figure, however, is a sum of probabilities. This means that if there are two verbatims and they both have the ‘Reason’ label predicted with a 50% confidence (0.5), then summed together this counts as 1 verbatim.
When you click on a label name it will take you down a level to the leaf labels that are nested within. To get back to the top level you click on the bar at the top with the root label name:
Tree map – 1 level down from the root label ‘Policy’
Label volume trends
The label volume trends chart shows the trend of the top 6 highest volume labels over the whole dataset as a default. As with the tree map, the percentage numbers are calculated as a sum of probabilities of predicted labels.
You can also filter the time period on this chart by using the dropdown menu or selecting the time period in the chart.
Label volume trends - most frequent labels
If you want to plot specific labels on this or other label specific charts, you can select those labels via the 'Charted labels' dropdown at the top of the page.
Top 10 highest volume leaf labels - chart
This chart shows the top 10 highest volume leaf labels over the whole dataset. This is also calculated on a sum of probabilities of the predicted labels.
Top 10 highest volume leaf labels – no sentiment
When sentiment is applied the chart will show both positive and negative labels. The top 10 is a split between the top 5 positive labels, and the top 5 unique negative labels.
This means that if the top negative label is already included in the top 5 positive labels, then it takes the next highest one as the top negative label and so on. This way the chart is always showing 10 unique labels.
Top 10 highest volume leaf labels – sentiment applied
Top 10 highest volume leaf labels – Table
The top 10 highest volume leaf labels table shows the same as the chart but in table format, with each label and corresponding label count.
This is also calculated on a sum of probabilities of the predicted labels.
Top 10 highest volume leaf labels table – no sentiment
When sentiment is applied the table shows a split of the top 5 positive labels and the top 5 unique negative labels.
Top 10 highest volume leaf labels table – sentiment applied
The label trends table shows you how the top 10 labels for a given time period perform compared to the previous period and their change in rank.
The time series in scope is set by the user in the filter bar, and the time sequencing of the chart (i.e. daily, weekly, etc.) in the top right dropdown menu.
For the time period selected, the table shows the top 10 labels based on the sum of probabilities of predicted labels. It also highlights how those labels have changed in rank from the previous period.
If sentiment analysis is enabled, it totals covering both positive and negative sentiment labels.
By adjusting the time sequence filter, this is a useful way of seeing if there were spikes or dips in volumes in a certain label, or group of labels, in a given period.
For each time sequence it will show the following period:
- Daily: The top 10 labels yesterday compared with the previous 7 days
- Weekly: The top 10 labels from the previous week compared with the previous 4 weeks
- Monthly: The top 10 labels from the previous month, compared with the previous 12 months
- Yearly: The top 10 labels from the last year (based on yesterday’s date) with the previous year