---
title: ToolRouter — Use Case
description: Step-by-step guide for a real-world ToolRouter use case with agent-specific instructions.
url: https://toolrouter.com/tools/social-media-comments/use-cases/analyze-comment-sentiment
---
# Analyze Comment Sentiment Across Platforms

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.

**Tool:** [Social Media Comments](https://toolrouter.com/tools/social-media-comments)
**Skills:** get_tiktok_comments, get_youtube_comments, get_instagram_comments, get_reddit_comments

## Agent Guides

- [How to Analyze Comment Sentiment with Claude](https://toolrouter.com/tools/social-media-comments/use-cases/analyze-comment-sentiment/claude): Guide for Claude
- [How to Analyze Comment Sentiment with ChatGPT](https://toolrouter.com/tools/social-media-comments/use-cases/analyze-comment-sentiment/chatgpt): Guide for ChatGPT
- [How to Analyze Comment Sentiment with Copilot](https://toolrouter.com/tools/social-media-comments/use-cases/analyze-comment-sentiment/copilot): Guide for Copilot
- [How to Analyze Comment Sentiment with OpenClaw](https://toolrouter.com/tools/social-media-comments/use-cases/analyze-comment-sentiment/openclaw): Guide for OpenClaw
