AI Sentiment Analysis
Detect positive, negative or neutral sentiment in any text — runs locally in your browser.
First analysis takes ~15 seconds to load the AI model. Subsequent analyses are instant.
How to use
- 1
Type or paste text (or one sentence per line for batch).
- 2
Click Analyze and wait for the result.
- 3
Read the sentiment label and confidence score.
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AI Sentiment Analysis — Analyze Text Emotion Free Online
Detect positive, negative or neutral sentiment in any text using AI. Powered by Transformers.js. Shows confidence score. Works entirely in your browser.
Enter any text — a product review, social media post, customer feedback or any written content — and the AI will analyze its emotional tone. Results show the sentiment label (Positive, Negative or Neutral) along with a confidence percentage.
The sentiment analysis model runs locally in your browser using Transformers.js and a DistilBERT model fine-tuned for sentiment classification. The first analysis takes 15-30 seconds to load the model — subsequent analyses are instant.
Frequently Asked Questions
What languages does sentiment analysis support?
The current model is optimized for English text. Results for other languages may be less accurate as the model was trained primarily on English data.
How is the confidence score calculated?
The model outputs a probability score for each sentiment class. The displayed percentage represents how confident the AI is in its classification.
Can I analyze multiple texts at once?
Yes. Use batch mode by entering multiple texts separated by new lines. Each text is analyzed independently.
Is sentiment analysis useful for businesses?
Yes. Common uses include analyzing customer reviews, monitoring brand mentions, evaluating survey responses and understanding audience reactions to content.