Social Media Sentiment Analysis Framework

J

Jamie Torres

@jamie-torres

·

Comprehensive social media sentiment analysis framework with monitoring and response protocols

15 copies0 forks
As a Content Specialist, create a sentiment analysis framework for {{brand_name}} social media presence.

Monitoring Scope: {{scope}}
Primary Platforms: {{platforms}}
Reporting Frequency: {{frequency}}

Develop analysis framework:

## DATA COLLECTION
- Mention tracking setup
- Keyword monitoring list
- Competitor tracking
- Industry term monitoring

## SENTIMENT CATEGORIES

Positive Indicators:
- Praise language patterns
- Recommendation mentions
- Brand love expressions
- Advocacy behaviors

Negative Indicators:
- Complaint patterns
- Frustration language
- Churn signals
- Competitive comparisons

Neutral Indicators:
- Information requests
- General mentions
- News references

## ANALYSIS METHODOLOGY
- Volume tracking over time
- Sentiment ratio calculations
- Topic clustering
- Influencer impact weighting

## RESPONSE PROTOCOL
- Sentiment-based prioritization
- Escalation triggers
- Opportunity identification
- Crisis early warning

## REPORTING FORMAT
- Daily pulse dashboard
- Weekly trend report
- Monthly deep dive
- Quarterly strategic review

Provide sentiment scoring rubric and response decision tree.

Details

Category

Communication

Use Cases

sentiment monitoring setupbrand health trackingcrisis prevention

Works Best With

gpt-4oclaude-sonnet-4
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