What review sentiment analysis tells you
A star rating tells you how customers feel; sentiment and topics tell you why.
| Insight | Example |
|---|---|
| Overall sentiment | 78% positive, 12% neutral, 10% negative |
| Topics | "Staff" mentioned in 40% of reviews, mostly positive |
| Weak spots | "Waiting time" is the most common negative topic |
| Mixed reviews | A 4-star review can praise the food and criticise the wait |
How to use the results
- Fix the most common negative topic first. One recurring complaint usually drives most bad reviews.
- Share what customers praise with your team.
- Re-check after a month to see whether the topic improved.
- Reply to the negative reviews you pasted. · AI reply generator →
How it works
The tool uses AI language analysis to classify each review's sentiment and group the phrases customers use into topics (service, staff, price, cleanliness, waiting time, quality, location). It's reliable for trends across several reviews; sarcasm and very short reviews can be misread, so always check the reviews themselves.
Analyse every review automatically
Copy-pasting works for a quick check. Scan And Review analyses every Google and Facebook review and your private feedback automatically: sentiment, top topics, strengths and weak spots in one dashboard, plus AI replies and instant alerts when a customer reports a problem. Included in Professional (EUR 49/month) and Enterprise (EUR 99/month). Start a free 14-day trial →
Industry examples: restaurants · hotels · dentists
FAQ
Is the sentiment analysis tool free?
Yes, for up to 20 reviews per check and a few checks per day.
Which languages does it support?
Reviews in common languages are analysed; results are shown in English.
Do you store the reviews I paste?
Pasted text is used only for the analysis and deleted within 24 hours.
Can I analyse my Google reviews automatically?
Yes, with Scan And Review's AI analytics, which reads your connected Google and Facebook reviews every day.