Paste any text — reviews, tweets, survey responses, or support tickets — and instantly see whether the tone is positive, negative, or neutral, with an emotion breakdown and the key sentiment-driving words.
Lexicon-based analysis: The tool scans your text against a curated sentiment lexicon of hundreds of positive and negative words and phrases, combined with negation handling ("not good" becomes negative, not positive).
Intensifiers & downtoners: Words like "very", "extremely", and "absolutely" amplify nearby sentiment, while words like "hardly" or "barely" dampen it — matching how people really talk.
Emotion mapping: Beyond positive/negative, matched sentiment words are classified into emotion families (joy, trust, fear, anger, sadness, surprise) to give you a richer picture of tone.
Private by design: Everything runs locally in your browser. Your text is never uploaded or stored anywhere.
Let us build it for you. Custom APIs, dashboards, automations — whatever you need.
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