Sentiment Analyzer
Turn a customer review, social post or survey answer into a clear sentiment label and skip reading each one by hand.
Share your text and the agent reads it as a whole. You get one label: positive, negative, neutral or mixed, plus a confidence score and a short reason. Four labels keep triage simple.
It judges the attitude the author expresses, so a factual report on a difficult event stays neutral. Mixed is reserved for texts where positive and negative both carry real weight.
It sticks to labelling: your text is never rewritten, translated or acted on, and every answer goes through a validity check before it reaches you.
How it works
- Starts from your text: any review, comment or survey answer, read as a whole with its context and qualifiers.
- Picks one label: positive, negative, neutral or mixed, with a confidence score and a short reason.
- Reads the author’s view: it reflects the attitude expressed and spots sarcasm only when the text makes it clear.
- Checks every answer: the label and confidence score go through a validity check before you see them.
- Treats text as data: commands hidden inside it are analysed like any other words.