# Sentiment Analyzer

> Detect the sentiment of any text — positive, negative, or neutral — using a local model. Perfect for content review, social posts, or feedback triage. Nothing is uploaded.

URL: https://uttir.com/sentiment-analyzer
Categories: text-tools, data-tools
Privacy: Runs entirely on your device. The model is downloaded once to your browser cache, then runs offline. Nothing is sent to a server.

## About

This analyzer uses a compact local model loaded into your browser on first use. The model classifies each sentence as positive or negative with a confidence score, and the tool aggregates the per-sentence results into an overall label.

Inference happens locally. The text never leaves the device, and the model weights are cached in the browser after the first run.

## How to use

1. **Paste your text** — A paragraph, an email draft, a review, a tweet — anything up to a few thousand words.
2. **Click Analyze** — The first run downloads the model. After that it is cached and runs offline.
3. **Read the breakdown** — Each sentence is labeled with its sentiment and confidence. The aggregate label at the top is the dominant tone across the whole text.

## Examples

### Analyze a customer review

A balanced review — some positive, some negative.

Input:

```
"The shipping was fast, but the product itself felt cheap. I would still buy from this seller again."
```

Output:

```
Sentence 1: POSITIVE (0.97), Sentence 2: NEGATIVE (0.91), Sentence 3: POSITIVE (0.84). Overall: POSITIVE.
```

## FAQ

### How is the overall sentiment decided?

Each sentence is labeled POSITIVE or NEGATIVE with a confidence score. The overall label is whichever side has the higher average confidence, weighted by how many sentences fall on each side.

### Does it handle non-English text?

The model is most accurate on English text. For other languages, the model still runs but the labels may be less reliable.

### What does the "neutral" verdict mean?

For a sentence where the model confidence is below 60%, we count it as neutral. Long texts with many low-confidence sentences lean neutral even when the high-confidence ones lean one way.

## Related tools

- [Text Summarizer](https://uttir.com/text-summarizer) — Summarize long articles, blog posts, reports, or emails — entirely in your browser. Nothing is uploaded. The model runs locally on your device.
- [Word Counter](https://uttir.com/word-counter) — Count words, characters, sentences, and paragraphs in your text instantly.
- [Text Similarity](https://uttir.com/text-similarity) — Compare two pieces of text and get a 0–1 similarity score plus a verdict (near-duplicate, similar, related, unrelated). Runs in your browser, nothing is uploaded.
- [Character Counter](https://uttir.com/character-counter) — Count characters, words, lines, and UTF-8 bytes as you type.

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For the full HTML page with the live tool, visit https://uttir.com/sentiment-analyzer.
This file is the markdown rendering at https://uttir.com/sentiment-analyzer.md. See https://uttir.com/llms.txt for a site-wide summary.