Local Sentiment Analysis
Classify the positive or negative tone of short English text with a model running in your browser.
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Use local sentiment analysis
Runs in this browser tab
88 / 1,200 characters
First use downloads approximately 70 MB of model files to this browser and may take several minutes. Your text stays on this device. The model runs on your device's CPU.
This small model works best with English text. It judges overall positive or negative tone; sarcasm and mixed opinions may be missed.
Model result
How to use it
Enter English text, run the local model, and read its positive or negative label with model confidence.
What to check
The first use downloads about 70 MB. The score is model confidence for two labels, not a measure of customer intent or factual quality.
Review the result before using it in a published page, application, or agent configuration.
Quick answers
Frequently asked questions
What does the sentiment confidence percentage mean?
It is the model's confidence between positive and negative labels, not a measure of customer intent, truth, or business impact.
Can sentiment analysis understand sarcasm or mixed reviews?
It may miss sarcasm, context, and mixed opinions. The English model is a quick signal and should be checked against the full text.
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