Back to Details

sentiment-analysis

Compare original and translation side by side

🇺🇸

Original

English
🇨🇳

Translation

Chinese

Community Sentiment Analysis Skill

社区情感分析Skill

When to Use

适用场景

  • Monitoring community tone during launches, incidents, or roadmap changes.
  • Preparing executive updates that require member sentiment context.
  • Prioritizing response or enablement efforts based on emerging themes.
  • 监控产品发布、事件或路线图变更期间的社区语气。
  • 准备需要成员情感背景的高管更新报告。
  • 根据新出现的主题优先安排响应或赋能工作。

Framework

实施框架

  1. Signal Sources – forums, chat transcripts, surveys, social listening, support tickets.
  2. Tagging Schema – categorize by emotion, topic, product area, persona, and severity.
  3. Trend Analysis – track frequency over time, correlate with launches or incidents.
  4. Risk Scoring – define thresholds for escalation (negative volume, influencer involvement, compliance).
  5. Action Loop – translate findings into comms responses, content updates, or product feedback tasks.
  1. 信号来源 – 论坛、聊天记录、调查问卷、社交监听、支持工单。
  2. 标签体系 – 按情绪、主题、产品领域、用户角色和严重程度分类。
  3. 趋势分析 – 随时间跟踪频率，与产品发布或事件关联分析。
  4. 风险评分 – 定义升级阈值（负面内容数量、意见领袖参与度、合规问题）。
  5. 行动闭环 – 将分析结果转化为沟通响应、内容更新或产品反馈任务。

Templates

配套模板

  • Sentiment tagging sheet (message → tags → severity → owner).
  • Trend report layout with charts + narrative.
  • Escalation matrix referencing response SLAs.
  • 情感标签表（消息 → 标签 → 严重程度 → 负责人）。
  • 包含图表+说明的趋势报告模板。
  • 参考响应SLA的升级矩阵。

Tips

实用技巧

  • Combine manual review with NLP dashboards to balance accuracy + scale.
  • Capture representative quotes for exec storytelling.
  • Pair with 
    measure-engagement
    command to provide recommendations alongside metrics.
  • 结合人工审核与NLP仪表板，平衡准确性与规模。
  • 抓取代表性引用用于高管汇报。
  • 搭配
    measure-engagement
    命令，在提供指标的同时给出建议。