# Sentiment Analysis

> Use to interpret qualitative feedback, trends, and risks across community channels.

- Skill: `gtmagents/sentiment-analysis` (Agent Skill)
- Install (CLI): `npx skillmds@latest add gtmagents/sentiment-analysis`
- Raw SKILL.md: https://api.skillmd.com/api/skills/gtmagents/sentiment-analysis/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: gtmagents (https://skillmd.com/u/gtmagents)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/gtmagents/sentiment-analysis

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# Community Sentiment Analysis Skill

## When to Use
- Monitoring community tone during launches, incidents, or roadmap changes.
- Preparing executive updates that require member sentiment context.
- Prioritizing response or enablement efforts based on emerging themes.

## Framework
1. **Signal Sources** – forums, chat transcripts, surveys, social listening, support tickets.
2. **Tagging Schema** – categorize by emotion, topic, product area, persona, and severity.
3. **Trend Analysis** – track frequency over time, correlate with launches or incidents.
4. **Risk Scoring** – define thresholds for escalation (negative volume, influencer involvement, compliance).
5. **Action Loop** – translate findings into comms responses, content updates, or product feedback tasks.

## Templates
- Sentiment tagging sheet (message → tags → severity → owner).
- Trend report layout with charts + narrative.
- Escalation matrix referencing response SLAs.

## Tips
- Combine manual review with NLP dashboards to balance accuracy + scale.
- Capture representative quotes for exec storytelling.
- Pair with `measure-engagement` command to provide recommendations alongside metrics.

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