Sentiment Analyzer — This analyzer uses a compact local model loaded into your browser on first use. The model classifies each sentence as positive or negative with a confidence score, and the tool aggregates the per-sentence results into an overall label.
Runs entirely on your device. The model is downloaded once to your browser cache, then runs offline. Nothing is sent to a server.
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O que é Sentiment Analyzer?
This analyzer uses a compact local model loaded into your browser on first use. The model classifies each sentence as positive or negative with a confidence score, and the tool aggregates the per-sentence results into an overall label.
Inference happens locally. The text never leaves the device, and the model weights are cached in the browser after the first run.
Como usar
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Paste your text
A paragraph, an email draft, a review, a tweet — anything up to a few thousand words.
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Click Analyze
The first run downloads the model. After that it is cached and runs offline.
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Read the breakdown
Each sentence is labeled with its sentiment and confidence. The aggregate label at the top is the dominant tone across the whole text.
Exemplos
Analyze a customer review
A balanced review — some positive, some negative.
"The shipping was fast, but the product itself felt cheap. I would still buy from this seller again."
Resultado: Sentence 1: POSITIVE (0.97), Sentence 2: NEGATIVE (0.91), Sentence 3: POSITIVE (0.84). Overall: POSITIVE.
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Count characters, words, lines, and UTF-8 bytes as you type.
Last reviewed: 2026-09-25