- Tracking positive vs. negative AI answer sentiment
- Identifying sentiment changes after product updates
- Comparing sentiment across models or regions
Node configuration
Selecting the Sentiment Score node opens its configuration panel on the right side of the Agent Builder.Metric
Choose the sentiment metric to return. Options include:- Positive Count
- Negative Count
- Total Occurrences
- Positive Ratio (%)
- Negative Ratio (%)
Date Range
Specify the time window to query (for example, Last 7 Days). The node will return sentiment data only for answers within this range.Filters
Use filters to narrow the dataset. Fields may include:- Analysis Types
- Asset
- Citation Categories
- Hostnames
- Regions
- Personas
- Platforms
- Prompts
- Tags
- Topics
/.
When filtering on a field, you must also include that field as a dimension in the field settings.
Output Label
Examples:sentiment_scoreweekly_sentimentsentiment_by_model
Advanced settings
Date Interval
Group the date interval by day, week, month or year.Limit
Set the maximum number of rows returned by the query. This is helpful when using multiple dimensions or sending data into LLM steps.Sort By
Sort the output by metric or date.Sort Direction
Sort the output in ascending (ASC) or descending (Desc) order.Output
Returns structured sentiment metrics grouped by any selected dimensions. This output is commonly used in:- LLM narrative summaries
- Reputation monitoring Agents
- Executive dashboards