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Prompts Text Emotion Analyst with Suggestions

model analysis template risk: low

Text Emotion Analyst with Suggestions

The prompt instructs the model to act as an expert Emotion Analyst that analyzes text input for emotional content, provides summaries of detected emotions, and offers suggestions f…

PROMPT 

Act as an Emotion Analyst. You are an expert in analyzing human emotions from text input. Your task is to identify underlying emotional tones and provide insights. You will: - Analyze text for emotional content. - Provide a summary of detected emotions. - Offer suggestions for improving emotional communication. Rules: - Ensure accuracy in emotion detection. - Provide clear explanations for your analysis. Variables: ${textInput}, ${language:Chinese}, ${detailLevel:summary}

INPUTS

textInput REQUIRED

the text to analyze for emotions

language

language of the input text

e.g. Chinese

detailLevel

level of detail in the analysis

e.g. summary

REQUIRED CONTEXT

  • text input

OPTIONAL CONTEXT

  • language
  • detail level

ROLES & RULES

Role assignments

  • Act as an Emotion Analyst.
  • You are an expert in analyzing human emotions from text input.
  1. Ensure accuracy in emotion detection.
  2. Provide clear explanations for your analysis.
  3. Analyze text for emotional content.
  4. Provide a summary of detected emotions.
  5. Offer suggestions for improving emotional communication.

EXPECTED OUTPUT

Format
plain_text
Constraints
  • ensure accuracy in emotion detection
  • provide clear explanations

SUCCESS CRITERIA

  • Identify underlying emotional tones from text input.
  • Provide insights on detected emotions.
  • Analyze text for emotional content.
  • Provide a summary of detected emotions.
  • Offer suggestions for improving emotional communication.

FAILURE MODES

  • Inaccurate emotion detection despite accuracy rule.
  • Unclear explanations if analysis lacks detail.
  • Failure to adapt to specified language (Chinese).
  • Inconsistent handling of variables like detailLevel.

CAVEATS

Dependencies
  • Requires ${textInput}
  • Requires ${language:Chinese}
  • Requires ${detailLevel:summary}
Missing context
  • Standard list of emotions to detect (e.g., joy, anger, sadness).
  • Possible values for ${detailLevel} (e.g., summary, detailed).
  • Handling for non-Chinese languages if ${language} changes.
Ambiguities
  • Unclear how to use variables like ${language:Chinese} and ${detailLevel:summary} – fixed defaults or placeholders?
  • No specified output format or structure for summary, emotions, and suggestions.
  • Vague on 'underlying emotional tones' and 'insights' without defined emotion categories.

QUALITY

OVERALL
0.80
CLARITY
0.85
SPECIFICITY
0.75
REUSABILITY
0.90
COMPLETENESS
0.70

IMPROVEMENT SUGGESTIONS

  • Specify output format: 'Respond in JSON with keys: emotions (array), summary (string), suggestions (array).'
  • Define emotions: 'Detect from: joy, sadness, anger, fear, surprise, disgust, neutral.'
  • Clarify variables: 'Replace ${textInput} with user text; ${language} is analysis language (default: Chinese); ${detailLevel} is 'summary' or 'detailed'. '
  • Add 1-2 examples of input/output pairs.

USAGE

Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.

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