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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What is 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.
How to use it
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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.
Examples
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."
Result: Sentence 1: POSITIVE (0.97), Sentence 2: NEGATIVE (0.91), Sentence 3: POSITIVE (0.84). Overall: POSITIVE.
Frequently asked questions
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Last reviewed: 2026-08-27