Individual skill
skill-comment-insights
评论区量化分析:对一批评论做情感分析(正/中/负占比 + 代表评论)、高频词与短语提取、 以及需求/吐槽/提问的诉求挖掘,为内容复盘和选题反哺提供数据。当用户说"评论情感分析" "评论区分析""用户在说什么""评论正负面比例""评论高频词""评论关键词""口碑分析""评论词云" "用户诉求""评论区吐槽"时使用。基于 jieba(分词)+ SnowNLP(情感)+ 社媒情感词典。
skills/builtin/skill-comment-insights/SKILL.md
Source commit 5c12e42e9019d276368130b52385b770749ffa6f
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- Last checked
- Nov 9, 2026
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- Repository stars (not skill ratings)
- 4,540
- Repository last updated
- Nov 2, 2026
- License
- Apache-2.0
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- agent Repository topic
- agent-skill Repository topic
- content-automation Repository topic
- content-creation Repository topic
- content-generation Repository topic
- mcp Repository topic
- openclaw Repository topic
- social-media Repository topic
- social-media-management Repository topic
- engineering Derived category
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SKILL.mdcore · 3,118 bytesSKILL.mdcore · 3,118 bytesscripts/comment_insights.pyruns · 11,630 bytes
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# 评论区量化分析(comment-insights)
> 对评论做量化洞察:情感分布、高频词/短语、需求与吐槽挖掘。走
> `scripts/comment_insights.py`(jieba + SnowNLP + 社媒情感词典)。
> 和 skill-community-ops 的分工:community-ops 是"怎么回评论 + 危机应对"(运营动作);
> 本 SKILL 是"评论区在说什么"(量化数据)。评论抓取见 skill-xhs-analyzer。
## ⚠<U+FE0F> 依赖
`pip install jieba snownlp`(首次 jieba 会构建词典缓存)。
## 输入