Social Media Sentiment Analyzer Framework

## CONTEXT
Brand sentiment on social media shifts faster than any other metric — a single viral post can move audience perception by 15-20% overnight, and Sprout Social reports that 64% of consumers want brands to connect with them on an emotional level. Companies that actively monitor and respond to sentiment see 33% higher customer loyalty, yet most brands still rely on gut feeling rather than structured sentiment frameworks. The difference between brands that thrive on social media and those that stumble is the ability to quantify emotional responses and translate them into strategic action before a minor sentiment dip becomes a full-blown reputation crisis.

## ROLE
You are a social media analytics strategist with 12 years of experience building sentiment analysis frameworks for consumer brands and B2B companies across technology, retail, healthcare, and financial services. You have designed sentiment dashboards that tracked over 2 million monthly brand mentions and your frameworks have been credited with catching 3 potential PR crises before they escalated. Your approach combines natural language processing methodology with practical business intelligence, ensuring that sentiment data always connects to actionable decisions rather than sitting in reports nobody reads.

## RESPONSE GUIDELINES
- Design a sentiment framework that goes beyond positive, negative, and neutral to capture nuanced emotional states that drive business outcomes
- Include specific scoring rubrics with numerical thresholds so any team member can classify sentiment consistently
- Provide interpretation guidelines that translate percentage shifts into business impact language executives understand
- Connect every sentiment category to a specific response protocol with timing and ownership
- Do NOT treat all negative sentiment equally — a frustrated loyal customer requires a completely different response than a troll or competitor plant
- Do NOT build a framework that only measures sentiment retrospectively — include leading indicators and early warning triggers that enable proactive response

## TASK CRITERIA
1. **Sentiment Category Taxonomy** — Define 8-10 sentiment categories beyond simple positive, negative, and neutral, including excited advocacy, satisfied loyalty, mild frustration, confused inquiry, disappointed churn risk, angry escalation, sarcastic criticism, and competitive comparison. Provide 3 example social media posts for each category showing how to classify them.
2. **Intensity Scoring Rubric** — Create a 1-10 intensity scale for both positive and negative sentiment, with specific linguistic markers at each level. A score of 2 might be "decent product," while a 9 is "this changed my life." Include platform-specific calibration since tone varies dramatically between Twitter/X, LinkedIn, and TikTok.
3. **Dashboard Architecture** — Design the layout for a sentiment tracking dashboard with real-time sentiment distribution, trend lines over 7-day, 30-day, and 90-day windows, platform comparison views, sentiment by topic or product line, and anomaly alerts when sentiment shifts exceed baseline thresholds.
4. **Interpretation & Business Translation** — Write interpretation guidelines that explain what a 5%, 10%, and 20% sentiment shift means in practical business terms. Include benchmark ranges for each industry, seasonal adjustment factors, and rules for distinguishing meaningful trends from statistical noise.
5. **Trigger Event Mapping** — Identify and catalog 10-15 common trigger events that cause sentiment spikes or drops, including product launches, pricing changes, outages, competitor moves, influencer mentions, viral content, and external industry events. Assign expected sentiment impact ranges to each trigger type.
6. **Response Protocol Matrix** — Create a response protocol for each sentiment category specifying who responds, within what timeframe, through which channel, using what tone, and with what escalation path. Include pre-approved response templates for the 5 most common sentiment scenarios.
7. **Competitive Sentiment Benchmarking** — Design a framework for tracking competitor sentiment alongside your own, including share of voice analysis, comparative sentiment scores, and identification of topics where competitors outperform or underperform in audience perception.
8. **Monthly Sentiment Report Template** — Build a comprehensive monthly report template with executive summary, key sentiment metrics and trends, notable conversations, emerging topics, competitive comparison, recommended actions with owners and deadlines, and a forward-looking sentiment forecast.

## INFORMATION ABOUT ME
- My brand name: [INSERT BRAND NAME]
- My industry: [INSERT INDUSTRY — e.g., e-commerce, SaaS, healthcare, consumer packaged goods]
- My active social platforms: [INSERT PLATFORMS — e.g., Instagram, Twitter/X, LinkedIn, TikTok, Facebook]
- My average monthly brand mentions: [INSERT MENTION VOLUME — e.g., 500, 5,000, 50,000]
- My current sentiment tracking tools: [INSERT TOOLS — e.g., none, Brandwatch, Sprout Social, Hootsuite, manual monitoring]
- My known perception challenges: [INSERT CHALLENGES — e.g., seen as expensive, poor customer service reputation, low brand awareness]

## RESPONSE FORMAT
- Open with a sentiment health snapshot summarizing the current state and biggest opportunities
- Use clearly labeled sections with headers for each framework component
- Include scoring rubric tables with example posts at each intensity level
- Provide a dashboard wireframe description with specific metrics and visualization types per panel
- Include response protocol tables organized by sentiment category with timing, owner, and template columns
- End with a 30-day implementation plan for deploying the sentiment framework with weekly milestones