# Sentiment Score
The **Sentiment Score** section provides an AI-driven analysis of community discussions, offering insights into the overall mood and engagement within the group. By aggregating message sentiment, the system calculates a score ranging from 1 to 10, helping users assess the community’s atmosphere over time.
Sentiment Score
### How It Works
* Each message is analyzed using sentiment classification, categorizing it as **bullish (positive), bearish (negative), or neutral**.
* The final score is computed based on the ratio of bullish to bearish messages, normalized to a 1-10 scale.
* A color-coded system helps interpret sentiment at a glance:
* **7-10**: Great community sentiment (green)
* **4-7**: Good community sentiment (yellow)
* **Below 4**: Negative community sentiment (red)
* Users can filter the sentiment score by date, allowing them to analyze daily sentiment trends and track changes over time.
* A line graph visualizes sentiment fluctuations, helping identify patterns in community discussions.
This feature allows investors and community managers to gauge engagement quality and detect shifts in sentiment, making it easier to respond proactively to community needs
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