Paste any YouTube video URL to instantly analyze comment sentiment — see positive, negative, and neutral percentage breakdowns, trending topics in the comments, and highlighted examples of what viewers are saying.
We fetch up to 100 recent comments directly from the YouTube API for the analyzed video. Our sentiment classification engine evaluates each response based on structured vocabulary matching.
Positive words such as "love", "helpful", "perfect", or "amazing" boost the sentiment index, while negative terms like "boring", "fake", "bad", or "misleading" lower it. Words failing to fall into either category are marked neutral.
Top topics are generated using a relative frequency parser, displaying which terms or subjects are mentioned most inside your audience's comments.
Leverage comment analytics to optimize engagement rates and retention statistics.
Get an immediate summary of how viewers respond to title changes, audio quality, or video hooks without scrolling through thousands of lines.
Quickly isolate negative clusters to check if your comments are being targeted by spam bots or toxicity waves requiring moderation.
Find the exact features or tools that viewers ask about in the positive segments to build focused tutorial sequences that capture high demand.
Common questions about comment sentiment analysis and logic.
Free tools to grow, analyze, and monetize your YouTube channel.