# Sentiment analyser

> Score text with a local multilingual review-rating model.

[Open tool](https://www.toolcabana.com/gu/sentiment-analysis) · [AI અને પ્રોમ્પ્ટ](https://www.toolcabana.com/gu/category/ai-and-prompt-tools)

Tool ID: sentiment-analysis. Requested language: gu. Description language: en. Complete guide translation: no; untranslated sections use English.

## Overview (en)

Sentiment analyser scores text with bert-base-multilingual-uncased-sentiment, a multilingual review-rating model that runs in your browser. It returns the model's five rating labels as JSON, each with a score and ranked from most to least likely. Paste 1 to 8,000 characters. Scores reflect review-style ratings, not a psychological assessment, and language, sarcasm and domain affect results.

## Supported tasks (en)

Downloads an inference model on first run. Chat and generation require WebGPU; smaller recognition models use browser WebAssembly. AI output can omit or invent details. Review it before use.

## Steps (en)

1. Paste the source into the input editor, or load the built-in example.
2. Check the source format before running the operation.
3. Run sentiment analyser, review the output, then use the available copy or download controls.

## Settings

No additional settings.

## Limitations (en)

Text sources are capped at 8,000 characters; image search accepts up to 20 images and a 500-character query. Models may truncate long text. First downloads can be hundreds of MB and need browser memory.

## Example input

```text
A useful tool makes everyday work easier. Review the results before sharing.
```

## Privacy and connections (en)

Local mode downloads public model/runtime assets and keeps input in this browser. Models may remain cached on this device.

## Questions (en)

### Does the sentiment analyser work in languages other than English?

It uses a multilingual review-rating model, so it accepts text in several languages. Accuracy still depends on the language and subject, and the model scores text as a review rating, so results on other kinds of writing need interpretation.

### How do I read the sentiment analysis output?

The output is a JSON list of the model's five rating labels, each with a score between 0 and 1, highest first. The top label is the most likely rating; close scores between neighboring labels suggest mixed or uncertain sentiment.

### Can sentiment analysis detect sarcasm?

Not reliably. The tool notes that sarcasm, language and domain affect results, because the model predicts a rating from the wording. Treat a surprising score as a reason to reread the text, not as a definitive judgment.

### Where is my input processed?

Local mode downloads public model/runtime assets and keeps input in this browser. Models may remain cached on this device.

### What are the input limits?

Text sources are capped at 8,000 characters; image search accepts up to 20 images and a 500-character query. Models may truncate long text. First downloads can be hundreds of MB and need browser memory.

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