The Sentiment page gives you a detailed view of community mood across the selected time range. It breaks down the positive/neutral/negative split, shows per-user scores, and lets you filter analyzed messages by sentiment category.
Sentiment summary
Four stats at the top:
- Positive - percentage and message count
- Neutral - percentage and message count
- Negative - percentage and message count
- Total Analyzed - messages scored in this period
Daily Sentiment Trend
A chart showing how the positive/neutral/negative split shifts day by day. Use this to correlate sentiment drops with specific events - a product announcement, a market move, a moderation incident - and understand how quickly the community recovers.
Sentiment Distribution
A breakdown showing the proportion of each sentiment category across the period.
User-level sentiment
Two ranked tables:
Most Positive Users - members with the highest average sentiment score in the last 7 days. Useful for identifying engaged, constructive contributors worth recognizing or promoting.
Most Negative Users - members with the lowest average sentiment scores. Persistent negativity from the same accounts often precedes escalating behavior - worth monitoring before it becomes an incident.
Recent Analyzed Messages
A filterable feed of scored messages. Filter by: All, Positive, Negative, Questions, Swearing, High Risk, Sarcastic, Shilling, or FUD. Click any message to expand the full sentiment breakdown.
Filter by Shilling or FUD and cross-reference with your Incidents page during market volatility. Coordinated FUD campaigns often appear in sentiment data before they trigger moderation events.
