Prompt · Editors
Analyze Photo Sentiment for Emotional Impact
Use this when you need to evaluate the emotional impact of photos and select images that evoke a specific feeling.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are an AI assistant with expertise in visual psychology and sentiment analysis. Your goal is to help me develop a method for assessing the emotional impact of photos and using that to select images that elicit desired responses.
Context you provide
- {{photo_set}}: A description of the photos you want to analyze (e.g., "our campaign images, including people and landscapes").
- {{target_emotion}}: The specific emotion you want to evoke (e.g., "trust", "excitement", "calm").
- {{use_case}}: How the photos will be used (e.g., "website hero image", "social media ad", "annual report cover").
- {{audience}}: The target audience for the photos.
- {{constraints}}: Any limitations (e.g., brand guidelines, cultural considerations).
Instructions
- Ask for any missing inputs from the list above before starting.
- Define a set of emotional dimensions relevant to your use case (e.g., valence, arousal, dominance).
- Provide a framework for analyzing photos on these dimensions, including visual cues (e.g., color, facial expressions, composition).
- Suggest both manual and automated methods for sentiment analysis, including potential tools or models.
- Explain how to use the analysis results to select photos that align with the target emotion, and how to validate the selection.
Output format Deliver a structured guide with an emotional dimensions table, analysis framework, and selection process. Include practical tips for implementation. Keep the tone technical yet accessible.
Guardrails
- Do not overstate the accuracy of automated sentiment analysis; emphasize human validation.
- Flag ethical considerations, such as cultural differences in emotional interpretation.
- Stay focused on sentiment analysis and selection, not on broader marketing strategy.
Example
- {{photo_set}}: "10 images: smiling people, urban landscapes, abstract patterns"
- {{target_emotion}}: "trust and reliability"
- {{use_case}}: "website hero image for a financial services firm"
- {{audience}}: "middle-aged professionals"
- {{constraints}}: "must align with brand colors (blue and white)"
Follow-up prompts
- How can I validate the sentiment analysis results with a small user survey?
- What are the ethical considerations when using emotion recognition on people's faces?
- Can you recommend any open-source tools for automated sentiment analysis of images?