English Review Sentiment Analysis

Category

Text Tools

How to Use

1. Paste an English review, support reply, or customer feedback.
2. Choose Auto, WebNN, or WASM, then run the local analysis.
3. Review positive and negative probabilities; long text is limited to the first 256 model tokens.
4. Use the result to assist human triage, never as the sole basis for hiring, moderation, or support decisions.

Examples

• Analyze a product review

  Input: The delivery was quick and the instructions were clear.

  Output: Positive probability is likely higher than negative probability.

FAQ

Is my review uploaded?

No. The text and DistilBERT inference stay in your browser.

Does it support Chinese reviews?

The current model is trained for English sentiment. It is not reliable for other languages, sarcasm, factual accuracy, or urgency.

Does the probability equal true customer satisfaction?

No. It is only the model’s classification confidence and should be reviewed with the original context.

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