Is my text uploaded to analyze its sentiment?

No. The classification model runs directly in your browser, so the text you paste is processed on your own device and is never sent to a server.

What does the confidence score mean?

It is how sure the model is about the positive or negative label, from 0 to 100 percent. Higher confidence means clearer sentiment in the wording.

Can it detect neutral or mixed sentiment?

The model chooses between positive and negative, so genuinely neutral or mixed text tends to land near the middle with lower confidence rather than a separate neutral label.

Does it understand sarcasm?

Not reliably. Sentiment is estimated from surface wording, so sarcasm and irony can produce the opposite of the intended tone. Use the result as a signal, not a final answer.

Can I analyze sentiment offline?

After the one-time model download, yes — because analysis runs on your device, you can check the tone of text with no network connection.

What text is it best suited to?

Short, opinionated text such as reviews, comments, feedback and messages works best. Long, factual or highly technical text carries less sentiment to detect.

AI Sentiment Analyzer

Paste text and see whether its tone reads as positive or negative, with a confidence score, from an AI model that runs entirely in your browser.

The sentiment model runs locally in your browser, so the text you analyze is never uploaded and stays on your device.

Need a quick summary instead? Try the AI Text Summarizer.

About AI Sentiment Analyzer

This AI sentiment analyzer reads a piece of text and tells you whether its overall tone leans positive or negative, along with a confidence score, without sending your words anywhere. The first time you use it, a small classification model downloads once and is cached by your browser; every analysis after that runs on your own device, so reviews, messages, feedback and comments you paste stay private and the tool keeps working offline. It is useful for gauging the tone of customer reviews, checking how a support reply or marketing line might land, sorting feedback into positive and negative, or getting a quick read on a message before you send it. Sentiment is estimated from overall wording, so very short, sarcastic or mixed text can read either way — treat the result as a helpful signal rather than a definitive judgement.

Features

Positive or negative tone with a confidence score, produced on your device
A small model that downloads once, is cached, and then runs instantly offline
Nothing is uploaded — the text you analyze never leaves your browser
A clear, colour-coded result you can read at a glance
Works on reviews, messages, comments, feedback and short passages
No setup — paste text and get an immediate read on its tone

How to use the AI Sentiment Analyzer

Paste the text you want to check into the Text box.
Click Analyze tone; the first run downloads the model once, then it runs locally.
Read the positive or negative result and its confidence score.
Adjust the wording and re-run to compare how the tone changes.

Example

Input

Absolutely loved this — the setup was quick and the support team was incredibly helpful.

Output

Strongly positive · 99% confidence

Clearly positive wording produces a high-confidence positive result.

Common errors & troubleshooting

The first analysis takes a moment to start. — The model downloads once on first use and is then cached; later analyses begin almost instantly, even offline.
A sarcastic sentence is labelled the opposite of what you meant. — Sentiment is estimated from wording, so sarcasm and irony can flip the result; treat the label as a guide, not a verdict.
A short or neutral phrase gets a low confidence score. — Very short or balanced text carries little signal; add more context and the confidence usually rises.
The result mixes signals for a long, varied passage. — The tool gives one overall tone; split mixed passages into shorter parts and analyze each separately.

Frequently asked questions

Is my text uploaded to analyze its sentiment?: No. The classification model runs directly in your browser, so the text you paste is processed on your own device and is never sent to a server.
What does the confidence score mean?: It is how sure the model is about the positive or negative label, from 0 to 100 percent. Higher confidence means clearer sentiment in the wording.
Can it detect neutral or mixed sentiment?: The model chooses between positive and negative, so genuinely neutral or mixed text tends to land near the middle with lower confidence rather than a separate neutral label.
Does it understand sarcasm?: Not reliably. Sentiment is estimated from surface wording, so sarcasm and irony can produce the opposite of the intended tone. Use the result as a signal, not a final answer.
Can I analyze sentiment offline?: After the one-time model download, yes — because analysis runs on your device, you can check the tone of text with no network connection.
What text is it best suited to?: Short, opinionated text such as reviews, comments, feedback and messages works best. Long, factual or highly technical text carries less sentiment to detect.

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