How to Use Comment Sentiment Analyzer (2026 Guide)

Comments are the only free, unfiltered feedback channel on YouTube, and most creators read them one at a time and remember only the harsh ones. The Comment Sentiment Analyzer processes a batch of comments and returns the emotional breakdown, the ten questions viewers keep asking, a toxicity and community-health score, the best window for replying, and hooks from the comments you can reuse in your next video.

This guide covers what to paste, how to read the sentiment split, and how to turn comments into content.

What to paste

Fifty to two hundred comments from one video, or the top comments from your last five. Include the mixed and negative ones — an analysis of only the compliments tells you nothing. The analyser classifies each into positive, negative, neutral, question and compliment, then aggregates.

Reading the split

The ratio that matters is questions to total: above 15% means the video left something unexplained and the FAQ list is your next video. Negative above 20% with low toxicity means substantive disagreement — often a sign the video took a real position, which is good for engagement. High toxicity with low substance is a moderation problem, not a content problem; the community-health score separates these.

Comments into content

The viral-hook section pulls phrasing from the comments themselves — the way your audience describes their problem is the way they will search for it and the way a hook should sound. The reply-timing advice tells you the window (usually the first 2–4 hours after upload) in which replies lift comment visibility and velocity.

Tips

• Copy comments with their like counts if you can; the analyser weights highly-liked comments more.
• Run it on a competitor's video in your niche — their unanswered questions are your video ideas.
• Re-run after a controversial video to measure whether the negativity was about the position or the delivery.

Common mistakes

• Only pasting the top ten — Top comments are biased toward early and positive. Scroll further.
• Reacting to toxicity as feedback — The health score exists to separate signal from abuse.
• Ignoring the neutral bucket — Neutral comments are often questions phrased as statements.

Worked example