Review highlights that show the exact phrases behind sentiment
Highlight sentiment-bearing phrases inside reviews so you can triage faster and use evidence—not gut feel—when deciding what to fix.
Key Highlights
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Phrase highlighting
- Sentiment-bearing phrases are highlighted so your eyes go straight to the words that carry the meaning.
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Faster triage
- Get to the point in seconds. Most teams don't have time to read every review closely.
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Evidence for decisions
- Repeated phrases like "dirty bathroom" or "waited 40 minutes" are operationally specific.
Examples
Restaurant
"Food was great, but we waited forever." → Highlighted: "waited forever"
Hotel
"Room was fine, the bathroom smelled." → Highlighted: "bathroom smelled"
Vacation rental
"Check-in was confusing and we got stuck outside." → Highlighted: "check-in was confusing"
Combine with aspects + search
Highlights are strongest when you use them to move from signal → proof → action.
Start with sentiment analysis to spot a negative shift. Use aspect analysis to find the bucket taking the hit. Use review search to pull the exact set of reviews. Open them and use highlights to see the repeated phrases fast.
This workflow prevents the classic failure mode: fixing the loudest complaint instead of the most common one.
Frequently Asked Questions
Related Pages
Redirect customers to external review sites (copy their feedback)
Collect an appraisal first (stars + text), then redirect to Google, TripAdvisor, Booking.com, Airbnb, or Facebook so customers can copy/paste their feedback.
Track positive vs negative review sentiment
Classify each review as positive or negative, then track sentiment over time. Spot early dips, compare platforms, and see the reviews behind the shift.
Entity extraction from reviews (people, places, products)
Identify named entities mentioned in reviews—people, places, and products/amenities—so you can spot repeated mentions and investigate faster.
Move faster without cutting corners
Turn review reading into a quick scan, with evidence you can act on.