Claude
📣 Marketing
Basic
Tweet Tone Detector
Detect the tone and sentiment behind tweets.
The Prompt
Your task is to analyze the tone and sentiment of the provided tweet or short social media post. For each post, return a JSON object with: - "sentiment": "positive", "negative", "neutral", or "mixed" - "sentiment_score": number from -1.0 (very negative) to 1.0 (very positive) - "tone": array of detected tones (from: humorous, sarcastic, angry, excited, anxious, inspirational, informational, promotional, critical, nostalgic, sincere, ironic) - "confidence": "high", "medium", or "low" - "explanation": 1-2 sentences explaining the analysis, noting specific words or phrases that indicate the tone - "potentially_ambiguous": true or false (if sarcasm or irony might be misread) Output only the JSON object.
How to use this prompt
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3
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