What does the sentiment score mean?

The score ranges from -1.0 (very negative) to 1.0 (very positive). A score near 0 indicates neutral sentiment or a balance of positive and negative words.

How accurate is this sentiment analyzer?

It uses a lexicon-based approach with positive and negative word lists plus negators and intensifiers. It is reliable for clear, literal English but may miss sarcasm or slang.

Is this tool using AI or machine learning?

Yes. It runs a multilingual BERT sentiment model locally through Transformers.js.

Does it support languages other than English?

The word lists are English, so results are best for English text. Other languages will be less accurate.

Yes. All sentiment analysis runs in your browser and your text is never sent to a server.

How can I improve accuracy?

Use full sentences or paragraphs. Very short text often produces neutral scores or unstable results.

✓ Multilingual BERT✓ Model confidence✓ On-device AI

Sentiment Analyzer

Analyze positive, neutral, and negative tone with a multilingual transformer model.

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How to use Sentiment Analyzer

Three steps. Instant results.

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Step 1

Paste a sentence, review, email, or paragraph.

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Step 2

Run the multilingual BERT model.

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Step 3

Review overall sentiment, star rating, confidence, and class distribution.

How Sentiment Analyzer works

The browser runs a BERT model trained for multilingual review sentiment. It predicts five star classes; the tool combines them into negative, neutral, and positive groups while retaining the top model confidence. This contextual model handles far more vocabulary than a fixed positive/negative word list.

Why use this Sentiment Analyzer?

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Contextual transformer inference

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Positive, neutral, and negative distribution

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Multilingual model

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On-device processing

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Transparent star-to-label mapping

Frequently asked questions

What model does this use?

It runs bert-base-multilingual-uncased-sentiment through Transformers.js in your browser.

How are labels calculated?

The model predicts 1-5 stars. One or two stars map to negative, three to neutral, and four or five to positive.

What does confidence mean?

Confidence is the model probability for its top star rating. It is not a guarantee that tone was interpreted correctly.

Does it detect sarcasm?

Not reliably. Sarcasm, mixed sentiment, domain jargon, and short fragments can confuse sentiment models.

Which languages are supported?

The multilingual model was trained on reviews in several major languages. Quality varies by language and domain.

Is text uploaded?

No. Inference runs locally after the browser downloads the model.

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