Tracky

AI Sentiment Analysis That Actually Understands What People Mean

Not just positive, negative, neutral. Tracky reads full context — sarcasm, mixed feelings, cultural nuance — and gives you sentiment scores you can trust.

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Context-Aware Analysis, Not Word Counting

Legacy tools count positive and negative words. Tracky's AI reads the entire mention in context. 'This product is sick' gets classified correctly. 'I love waiting 3 weeks for shipping' gets flagged as negative despite the word 'love'. Every mention gets a sentiment label (positive, negative, neutral, mixed) and a confidence score from 0 to 1.

Sentiment Breakdowns by Platform, Time, and Topic

See how sentiment differs across platforms. Maybe Twitter is overwhelmingly positive while Reddit skews negative. Track sentiment shifts over 24 hours, 7 days, or 30 days. Identify which topics drive positive vs negative mentions. All visualized in charts you can actually read.

Spot Sentiment Shifts Before They Become Crises

Tracky's trend detection works alongside sentiment analysis. When sentiment drops sharply — say, 60% positive to 40% positive in 48 hours — you'll see it in your dashboard and get alerted. Catch PR issues early, not after they've gone viral.

Stop Guessing How People Feel About Your Brand

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