Review Sentiment Categorizer

This free review sentiment analysis tool reads a batch of your customer reviews and instantly sorts each one into positive, neutral, or negative buckets, then surfaces the recurring words that drive those feelings. Paste your Google, Yelp, or Facebook reviews one per line, click Analyze, and you get a clear breakdown of how customers really feel without sending a single line of text to a server. Everything runs in your browser, so even sensitive feedback stays private on your own device.

Local businesses live and die by their reputation, and reading hundreds of reviews by hand is slow and easy to skew. With this review sentiment analysis tool you can spot the themes worth promoting (friendly staff, fast service, clean space) and the problems worth fixing (long waits, rude replies, overpriced items) in seconds. The per-review scores and top keyword list make it simple to brief your team, prioritize fixes, and decide which happy reviews to feature on your site.

To use it, copy your reviews into the box with one review on each line, press Analyze reviews, and review the sentiment split, the per-review labels, and the recurring keyword tags. You can copy the full report or download a CSV to share with your team or drop into a spreadsheet. When you are ready to track how those reviews translate into Google Maps rankings across your service area, start free with ProMapRanker.

FAQ

How does the review sentiment analysis work?

The tool uses a bundled lexicon of scored sentiment words (an AFINN-style list) combined with negation and intensifier handling. It tallies the sentiment words in each review, adjusts for phrases like "not good" or "very friendly," and labels the line positive, neutral, or negative based on the total score. It also strips common stop words to count the keywords that appear most often.

Is my review data sent anywhere?

No. All processing happens locally in your browser with plain JavaScript. There are no API calls, no logins, and no uploads, so your pasted reviews never leave your computer. You can even disconnect from the internet after the page loads and it will still work.

How accurate is the sentiment labeling?

Lexicon-based scoring is fast and works well for the clear, opinion-heavy language found in most reviews, but it is a heuristic, not a human reader. Sarcasm, mixed reviews, and unusual phrasing can be misjudged, so treat the labels as a quick first pass and skim any borderline scores yourself before acting on them.