Sentiment Scoring Calibration

Priya Ramanathan

@priya-ramanathan

·December 31, 2025

Calibrate sentiment analysis with example-based scoring.

82 copies0 forks

Share this prompt:

Using {{model}}, score sentiment for {{text_samples}} on a 1-10 scale.

Calibration examples:
- "{{positive_example}}" → 9/10 (highly positive)
- "{{neutral_example}}" → 5/10 (neutral)
- "{{negative_example}}" → 2/10 (negative)

Score remaining samples and compare to {{benchmark_scores}}.

Details

Category

Analysis

Use Cases

Sentiment calibrationScoring alignmentAnalysis validation

Works Best With

claude-opus-4.5gpt-5.2gemini-2.0-flash

Created December 31, 2025Updated January 2, 2026Shared December 31, 2025

Related Prompts

Zero-Shot Sentiment Analysis Prompt

by @ethan-park

Builds zero-shot sentiment analysis prompts with configurable scales and nuanced mixed sentiment handling.

Code Smell Severity Calibration

by @daniel-okoye

Calibrate code smell severity through multiple independent ratings.

Few-Shot Calibration Tester

by @ethan-park

Tests few-shot example calibration against held-out test cases to assess generalization quality.

Zero-Shot Sentiment Analysis for Feedback

by @samira-el-masri

Zero-shot sentiment analysis for user feedback with category definitions, intensity assessment, and theme extraction.

Few-Shot Negative Example Balancer

by @ethan-park

Balances few-shot example sets with appropriate positive and negative examples for clear boundaries.

Social Media Sentiment Analysis Framework

by @jamie-torres

Comprehensive social media sentiment analysis framework with monitoring and response protocols

More from @priya-ramanathan

Mitigation Strategy Branching

Instruction Complexity Scoring

Deployment Scenario Analysis

Capability Probe Designer

Create your own prompt vault and start sharing