Sentiment Analysis API

About this tool

Analyze the emotional tone of any English text using the AFINN-165 lexicon. Each word in the text is scored (e.g., "love" = +3, "hate" = -3) and an aggregate score is returned. Ideal for reviewing customer feedback, social media posts, or product reviews at scale.

Quick Start

curl -X POST https://api.iteratools.com/sentiment \
  -H "Authorization: Bearer YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"text": "I love this amazing product! It is fantastic."}'

Response

{
  "sentiment": "positive",
  "score": 7,
  "comparative": 1.4,
  "tokens": ["love", "amazing", "product", "fantastic"],
  "positive": ["love", "amazing", "fantastic"],
  "negative": [],
  "language": "en"
}

Response Fields

sentiment — positive, negative, or neutral
score — Sum of all word scores (higher = more positive)
comparative — Score normalized by word count
tokens — All words recognized in the AFINN lexicon
positive — Words with positive score
negative — Words with negative score
language — Always en (English AFINN-165)

Negative Example

curl -X POST https://api.iteratools.com/sentiment \
  -H "Authorization: Bearer YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"text": "This is terrible. I hate it and it is awful."}'

{
  "sentiment": "negative",
  "score": -9,
  "comparative": -1.5,
  "tokens": ["terrible", "hate", "awful"],
  "positive": [],
  "negative": ["terrible", "hate", "awful"],
  "language": "en"
}

Pricing

$0.001 per request via x402 micropayment on Base (USDC). Max text length: 10,000 characters.

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