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Sentiment Analyzer

Paste a review, a tweet, a support message — anything — and watch it get scored word by word. You'll see the verdict (positive, negative or neutral), a confidence gauge, and exactly which words tipped the scale. Nothing is hidden and nothing is uploaded.

🔒 100% local — the text you type never leaves your browser.

Your text

Type or paste up to a few paragraphs, then hit Analyze.

Try an example

Your result will appear here — a verdict, a gauge, your text with the scoring words highlighted, and a breakdown of what mattered most.

How honest is this? This is a classic lexicon-based sentiment scorer — every word carries a hand-tuned score, with rules for negation ("not good") and intensifiers ("really bad"). It's transparent and fast, but it's not a large language model: it can miss sarcasm, slang and context. Real production sentiment (the kind we wire into dashboards for clients) uses an LLM — but the honest little version below shows you exactly how the classic approach thinks.

Why it's useful

Score hundreds of reviews or support tickets in a second, flag the angry ones, and route them first — no model, no cost, no data leaving the page.

Actually private

There's no server here to send anything to. Open your browser's network tab and check — that's the audit.

Want the real thing?

We build LLM-grade sentiment and triage into live dashboards for businesses. Tell us what you'd measure →

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