Topics by Emotion

This chart plots topics that are relevant to text that are relevant to text exhibiting an emotion . Topics display in descending order of occurrence and are optionally filtered by categories such as speaker_name, speaker_id, or any category your dataset is labeled with. Emotional valence and intensity are represented by color.

This chart works best with datasets that include references to key topics of interest, such as a survey about remote work or a meeting about employee wellbeing. It can help to identify the highest frequency topics mentioned when an emotion is expressed and allows you to compare the frequency of topics mentioned when an emotion is expressed.

Parameters

• The Taxonomy drop-down menu allows you to select the taxonomy (dictionary) that contains the topics to filter by.

• The Emotion drop-down menu allows you to select an emotion you want to display in the chart.

• The Topics drop-down menu allows you to select the topic(s) within the taxonomy to display in the chart.

  note

  If no emotions are selected, this chart displays the top 10 topics ordered by occurrence.

You can view the text samples in a dataset that trigger the topic classification within a selected taxonomy. Simply click the horizontal bar associated with the topic you want to see the sample for, and the sample will display below the bar chart, sorted by decreasing relevance. In the image below, Teamwork is selected, as indicated by the shadow spanning the its horizontal bar.

• Under Additional Configurations, you will find Override Axis Ranges. This tool allows you to toggle between Fit to Data and Custom. By choosing Fit to Data (the default setting), the chart will scale to the upper ranges of the data plus a small buffer. Choosing Custom enables you to customize the x-axis range.

  

  Customizable axis ranges provide flexibility to zoom in and view your data in greater detail, making it easier to analyze patterns that might otherwise be missed. Zooming out allows you to standardize the scale across multiple charts, which is especially useful in views such as dashboards where you want to compare different datasets on a consistent scale. This feature gives you control over how your data is presented, ensuring that key insights are clear and accessible.

  note

  Negative values are disallowed for this chart type.