✓ Instant analysis✓ Word-level detail✓ Free forever

Free Sentiment Analyzer Online

Analyze the emotional tone of any text. Get positive, negative, and neutral scores.

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Positive

Score: 0.25 (4 sentiment words in 26 total)

60%

Positive

Neutral

40%

Negative

Positive Words (2)

amazinghelpful

Negative Words (2)

terribleslow

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This took 2 seconds instead of 20 minutes.

aiml.site costs $20/year to run. If this helped, buy me a coffee.

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No pressure — the tool is free forever either way.

How to use Sentiment Analyzer

Three steps. Instant results.

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Step 1

Type or paste your text (reviews, emails, social media posts) into the input box.

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Step 2

The tool automatically analyzes the text and displays the overall sentiment label (Positive, Negative, or Neutral).

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Step 3

Check the detailed breakdown to see the exact positive and negative words detected in your text.

How Sentiment Analyzer works

This tool uses a lexicon-based natural language processing approach. It runs your text against predefined AFINN-style lists of positive and negative English words. The algorithm also checks for intensifiers (like 'very' or 'extremely') which multiply the emotional score, and negators (like 'not' or 'never') which flip the polarity of the following word. All calculations happen instantly in your browser.

Why use this Sentiment Analyzer?

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Instant sentiment analysis without API calls

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Identifies specific positive and negative keywords

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Accounts for intensifiers and negators in grammar

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100% private, no text is sent to any server

Frequently asked questions

How accurate is the sentiment analyzer?

It uses a robust lexicon-based approach, checking against dictionaries of positive and negative words. It also accounts for negators (like 'not') and intensifiers (like 'very') for higher accuracy on standard English text.

Is my text data stored or saved?

No. The sentiment analysis happens entirely in your web browser. Your text is never sent to a server or saved anywhere.

What does the sentiment score mean?

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

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