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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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