Sentiment Analysis
1 min read · Reviewed 17 Oct 2026
In short
Working out the feeling behind a piece of text.
In plain English
Automatically judging whether text is positive, negative or neutral — and increasingly, more nuanced states like frustration or confusion.
A real example
Running six months of reviews through it to see whether complaints cluster around delivery, product or service, without reading all four hundred.
Why it matters
It is useful in bulk and unreliable individually. Trust the trend across hundreds of items; do not act on its reading of one message, especially where sarcasm or context is involved.
