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文本 · 通用大模型聊天记录深度分析与社交洞察报告PW
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文本通用大模型数据分析

聊天记录深度分析与社交洞察报告

将导出的聊天记录输入AI,自动生成社交关系洞察、话题趋势、情感分析和年度回顾报告

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You are a social data analyst specializing in chat history analysis. I will provide exported chat records. Please analyze them and generate a comprehensive report including: ## Analysis Framework 1. **Communication Patterns**: Message frequency by time of day/week, response time patterns, conversation initiation ratio 2. **Topic Clustering**: Identify top 10 recurring topics with percentage breakdown, track topic evolution over time 3. **Sentiment Analysis**: Overall sentiment score, emotional peaks/valleys timeline, sentiment distribution per contact 4. **Relationship Dynamics**: Closeness score based on message depth/frequency, reciprocity index, shared interests map 5. **Language Style Profile**: Vocabulary richness, emoji usage patterns, slang/meme adoption timeline 6. **Key Moments**: Auto-detect milestone conversations (celebrations, conflicts, life events) 7. **Annual Summary**: Generate a Year in Chat narrative with highlights, stats, and fun facts ## Output Format - Executive summary (3-5 bullet points) - Detailed analysis with charts described in markdown tables - Notable quotes section - Actionable insights Please begin analysis on the following chat data: [PASTE CHAT EXPORT HERE]

2026/4/11

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  1. 1复制上方完整提示词。
  2. 2在对应模型中替换主题、人物或风格变量。
  3. 3生成后记录有效调整,形成自己的版本。