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Communication

Sentiment Analyzer

Analyze the sentiment and emotional tone of text content. Useful for feedback analysis and brand monitoring.

Workflow Structure
How this template processes data
  1. 1Input: Text content to analyze
  2. 2Process through sentiment model
  3. 3Extract emotional indicators
  4. 4Return sentiment score and breakdown
Prompt Examples
Copy-paste ready prompts for this workflow

analyze

Analyze the sentiment of this text. Provide:
1. Overall sentiment (Positive/Negative/Neutral) with score 0-100
2. Emotional indicators (frustrated, happy, confused, etc.)
3. Key phrases driving the sentiment
4. Any urgency indicators

Text:
{{content}}
LLM Recommendations
Best for Quality
Claude Sonnet 4.5
Best for Speed
GPT-4o mini
Best for Cost
DeepSeek V3
Cost Estimate
per analysis
$0.001-0.005
monthly 10000 items
$10-50
Common Error Patterns
Issues to watch for and handle
  • Sarcasm detection
  • Cultural context
  • Industry jargon
Monitoring with Administrate
  • Track sentiment accuracy vs human review
  • Monitor edge cases
Use Cases
  • Review analysis
  • Support ticket prioritization
  • Social listening
  • Employee feedback