Read the sentiment behind any review page.
01Field guide
From a comment sample to a sentiment map
The analyzer uses the same public page support as the comment scraper. It collects up to 50 comments or reviews from the URL you paste, then sends only that sample for analysis.
The percentage bar shows how the sample divides across positive, neutral, and negative language. Theme counts come from the model's reading of the same comments, so treat them as a fast directional view rather than a survey result.
Every displayed quote is checked against the scraped comments before it reaches the page. If a generated quote does not match the source text, the tool drops it from the theme.
02FAQ
Review sentiment analysis FAQ
Which sites does the sentiment analyzer support?
Supported sources include Reddit, YouTube, Amazon, app stores, review sites, marketplaces, social posts, forums, Product Hunt, Quora, Hacker News, and Shopify product pages.
How is review sentiment computed?
A language model analyzes up to 50 real comments from the URL, estimates the positive, neutral, and negative share, and groups repeated themes. Quotes are kept only when they are verbatim text from the scraped comments.
Is the review sentiment analyzer free?
Yes. You can run two free analyses per week without an account. A free account skips that visitor gate, while the shared weekly tool budget still applies.
What should I do after the sentiment analysis?
Use the Amazon review scraper to collect Amazon review data, then use the Amazon review analyzer for a product-specific breakdown of praise and complaints.
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FROM SENTIMENT TO CUSTOMER LANGUAGE
A percentage tells you the mood. The quotes tell you why.
Try Adlicio free. Collect larger review sets and turn the repeated language into ranked pains, objections, and ad angles.
Free to start. No credit card.