Applications · Established · Beginner
Sentiment Analysis
Classifying the emotional tone or opinion expressed in a piece of text.
What Sentiment Analysis is
Sentiment can be a simple positive-negative label or a finer analysis of emotion and aspect — what specifically the writer liked or disliked.
How it works
Historically a supervised classifier over labelled reviews; today often a prompted language model that also extracts the aspect and a supporting quote, which is more useful than a bare score.
Why it matters
It converts open-text feedback into a trackable metric, though aggregate scores hide more than they reveal without aspect breakdowns.
Common uses
- →Review and survey analysis
- →Brand and social monitoring
- →Support ticket prioritisation
- →Employee feedback themes
Strengths
- ✓Scales qualitative feedback
- ✓Cheap with modern models
Watch for
- ✓Sarcasm and cultural nuance
- ✓Aggregate scores obscure causes
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