Tools / Social Media Comments / Use Cases / Analyze Comment Sentiment Across Platforms

Analyze Comment Sentiment Across Platforms

Gauge audience sentiment by collecting and analyzing comments from TikTok, YouTube, Instagram, and Reddit posts.

Tool
Social Media Comments icon
Social Media Comments

Understanding how your audience feels about your content, product, or brand requires reading thousands of comments across multiple platforms. Manually scrolling through TikTok replies, YouTube threads, Instagram responses, and Reddit discussions is impossibly time-consuming -- and the sheer volume means you miss patterns that only emerge at scale.

Automated comment collection pulls every comment from your target posts across all four platforms into a single dataset. From there, you can analyze sentiment distribution, identify emotional triggers, and spot shifts in audience perception over time. A product launch that gets enthusiastic TikTok comments but skeptical Reddit threads tells a very different story than uniform praise everywhere.

Agent Guides

Claude

  1. Connect ToolRouter: claude mcp add toolrouter -- npx -y toolrouter-mcp
  2. Ask Claude: "Pull all comments from this TikTok post and this YouTube video using social-media-comments"
  3. Claude collects comments from both platforms and summarizes the overall sentiment
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ChatGPT

  1. Configure ToolRouter in ChatGPT settings
  2. Ask: "Collect comments from this Instagram post and analyze the sentiment"
  3. ChatGPT fetches the comments and provides a sentiment breakdown
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Copilot

  1. Add ToolRouter to Copilot MCP config
  2. In Copilot Chat: "Pull comments from this YouTube video and analyze sentiment"
  3. Copilot collects comments and returns a structured sentiment analysis
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OpenClaw

  1. Connect ToolRouter: openclaw mcp add toolrouter -- npx -y toolrouter-mcp
  2. Ask OpenClaw: "Collect comments from this TikTok video and analyze the sentiment"
  3. OpenClaw fetches comments and provides sentiment analysis
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