How sentiment analysis works
How feedback gets scored, what the scores mean, and where the AI's judgement has limits.
Every piece of feedback — review or survey response — is read and scored so the things needing attention surface without you reading everything.
The categories
Positive. The customer is happy. Worth a thank-you, and a candidate for your feedback wall.
Neutral. Factual or mixed, without strong feeling either way. Often the most honest feedback you get, and the most ignored — neutral responses frequently contain the specific, unemotional criticism that’s easiest to act on.
Negative. The customer is unhappy. Triggers a resolution.
It reads meaning, not stars
A four-star review saying “lovely food, but we waited fifty minutes and nobody apologised” is not straightforwardly positive, and a rating alone would tell you it was. Sentiment scoring reads the text.
This matters most for the reviews that are easiest to miss — the polite ones with a real complaint buried in the middle.
Where it gets things wrong
Worth knowing, so you don’t over-trust it:
Sarcasm. “Brilliant, waited an hour for cold food” is hard for any model. Usually caught by context, not always.
Cultural directness. Feedback conventions vary. Blunt phrasing in some cultures reads as more negative than intended.
Very short responses. “Fine.” carries almost no signal. These usually land neutral, which is the right call but not an informative one.
Mixed feedback with a strong ending. Reviews that criticise at length then close warmly can score more positively than the substance warrants.
If you spot a misread, correct it. That feedback improves how similar cases are handled.
What to do with each
Negative — respond fast. Speed matters more than eloquence. The window where a customer can be won back is measured in hours.
Neutral — read these. They’re where the specific, actionable criticism lives, because the customer wasn’t angry enough to be vague.
Positive — thank them, and ask the happiest for a public review. Someone who has just told you privately that they loved it is the single most likely person to say so publicly, and almost nobody asks.
Trends beat individual scores
One negative review is an event. A negative rate climbing over six weeks is a pattern. The individual scores are for triage; the trend is for decisions.
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