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

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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
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