小红书 VOC 情感分析

小红书 VOC 情感分析

ID: epmmcmmgmflokmpndeamenffhhhbokkl

Supported Languages

🇨🇳Chinese (Simplified)

Extension Info & Metadata

Status
Active
Version
1.2.0
Size
0.21 MB
Rating
0.0/5
Reviews
0
Users
22
Type
Extension
Updated
Apr 25, 2026
Category
Tools
Price
Free
Featured
No
Visibility
Listed
Mature
No
By Google
No
Trusted
No

Publisher Contextual Analysis

Author
郭小铭View Profile
MX records exist
Yes
Domain exists
Yes
Is disposable
No
Is role-based
No
Mailbox exists
Yes
Total Extensions
10
Active
9
Obsolete
1
Listed
9
Unlisted
1
Total Users
408

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分析小红书帖子评论的情感倾向、地域分布,生成 VOC 报告

运营/博主必装!一键分析小红书“用户之声”的 VOC 神器 如果你经常在小红书做笔记复盘、竞品调研,或者面对几千条评论不知道用户到底在想什么——这款「小红书 VOC 情感分析」插件真的能帮你省下几个小时的体力活。 💡 一句话总结 在浏览器侧边栏里直接“自动采集 + AI 情感分析 + 报告可视化”小红书评论;不仅能秒出情绪比例,还能让 AI 帮你总结核心痛点和营销亮点。 ✨ 我觉得最实用的点 🖱️ 自动采集:模拟手动滚动,一键抓取上百条评论,不用再苦哈哈地复制粘贴。 📊 情感分布可视化:正向/负向/中性比例一目了然,笔记“风向”秒掌握。 🗺️ 地域分布:看看这届用户都来自哪些省份,精准画像。 ☁️ 热门关键词:一眼看清用户讨论的高频词,捕捉真实反馈。 🤖 AI 深度洞察:自动总结核心主题、潜在风险和营销建议,文案直接参考。 🌍 灵活配置:支持 GPT-4o-mini、Claude、Gemini 等主流 AI 模型,速度快还省钱。 👥 适合哪些人 📈 小红书运营 / MCN 机构(复盘笔记效果,产出汇报数据) 🤳 个人博主(深度了解粉丝反馈,优化内容方向) 🛍️ 品牌方 / 电商卖家(竞品调研、捕捉用户未被满足的需求) 📝 市场调研人员(快速产出客观的用户之声 VOC 报告) 🧠 常见使用场景(真的很常遇到) 🔍 笔记爆火后:面对几千条评论,快速总结大家到底在夸什么、求什么。 📉 遇到负面舆情:迅速定位用户不满的核心点,及时调整策略。 🕵️ 调研竞品:去翻翻竞品爆款笔记下的评论,看看用户还在吐槽什么(这就是你的机会)。 📑 产出复盘报告:图表精美,数据客观,汇报更有说服力。

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IPv4
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IPv6
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reactjs.org/docs/error-decoder.htmlhttps://reactjs.org/docs/error-decoder.html?invariant=
www.w3.org/1999/xlinkhttp://www.w3.org/1999/xlink
www.w3.org/XML/1998/namespacehttp://www.w3.org/XML/1998/namespace
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www.github.com/openai/openai-nodehttps://www.github.com/openai/openai-node#file-uploads
api.openai.com/v1https://api.openai.com/v1
help.openai.com/en/articles/5112595-best-practices-for-api-key-safetyhttps://help.openai.com/en/articles/5112595-best-practices-for-api-key-safety
api.openai.com/v1/chat/completionshttps://api.openai.com/v1/chat/completions
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