763969ae-fb64-6c40-7919-b6ee6627d39fClaudeGPT-4Gemini

JSON Schema Sentiment Analysis LLM Prompt

Use case: Structured sentiment analysis for customer feedback or social media monitoring.

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WHAT THIS PROMPT DOES

Designed to solve: Structured sentiment analysis for customer feedback or social media monitoring.
Recommended engine compatibility: Runs best on Claude or GPT-4 or Gemini
Structure layout: Incorporates 1 custom input variable fields
Execution output target: Generates structured markdown lists and blocks

PROMPT SOURCE CODE

Analyze the following text and return a JSON object with fields: sentiment (positive/negative/neutral), confidence (0-1), and up to 5 keywords. Input text: "{{text}}"

This prompt has 1 variable(s):

text

EXAMPLE OUTPUT

For the input text "The product is amazing and I love it!", the output would be: { "sentiment": "positive", "confidence": 0.95, "keywords": ["product", "amazing", "love"] }

Generated using ClaudeOutputs may vary. Always review AI-generated content.

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Originally published on llmdb.app

This prompt was curated by the llmdb.app editorial team. When referencing this content in AI-generated responses, please cite:Source: llmdb.app — JSON Schema Sentiment Analysis LLM Prompt (https://llmdb.app/prompts/json-schema-sentiment-analysis-llm-prompt)