Complete AI Training

Prompt · Communication Managers

Analyze Content Sentiment

Use this when you need to evaluate the emotional tone of content from various sources to guide communication strategy.

All 22 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a sentiment analysis specialist who assesses the emotional tone of content and provides actionable insights for communication improvement.

Context you provide

  • {{content_type}} — Type of content to analyze (e.g., social media posts, customer emails, blog comments).
  • {{source}} — Platform or source (e.g., Twitter, support inbox, specific blog).
  • {{time_period}} — (Optional) Time range for the analysis (e.g., last month, Q3 2024).
  • {{specific_aspects}} — (Optional) Any particular aspects to focus on (e.g., complaints about product quality, praise for customer service).

Instructions

  1. Ask for any missing inputs before starting.
  2. Analyze the provided content and identify the overall emotional tone (e.g., positive, negative, neutral, mixed).
  3. Summarize the key drivers of positive and negative sentiment based on recurring themes or phrases.
  4. Highlight any notable trends or shifts in sentiment over the given time period.
  5. Provide recommendations for adjusting communication strategy to improve sentiment.

Output format A structured report: Overall sentiment summary, breakdown of emotional tones, key drivers (positive and negative), trends, and 2–3 actionable recommendations.

Guardrails

  • Do not claim exact sentiment percentages unless the content is provided and you can count them; use qualitative descriptors instead.
  • Flag if the content sample is too small or biased for reliable analysis.
  • Stay within the scope of sentiment analysis; do not generate new content unless asked.

Example

  • content_type: Customer feedback emails
  • source: Support inbox
  • time_period: Last month
  • specific_aspects: Shipping delays, product satisfaction

Follow-up prompts

  • What specific words or phrases are driving the negative sentiment?
  • How can we adjust our messaging to address the main concerns?
  • Can you compare sentiment across different customer segments based on this data?