Pricing

Pay per usage

Sentiment Analysis API, Text Emotion & Tone Detector

Analyze text sentiment in real time. Returns positive, negative, or neutral with confidence score. Detects emotion words, handles negation. No external API costs. Built for brand monitoring, review analysis, and social media pipelines.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

George Kioko

Actor stats

Bookmarked

Total users

Monthly active users

18 hours ago

Last modified

Sentiment Analysis API

Analyze text sentiment instantly. Returns positive, negative, or neutral with a confidence score. No external AI costs. Runs entirely on a built in word lexicon.

What you get

Sentiment label: positive, negative, or neutral
Score from -1 (very negative) to +1 (very positive)
Confidence score (0 to 1)
List of positive and negative words found
Negation detection ("not good" correctly scores as negative)

Who uses this

Brand monitoring teams analyzing thousands of mentions
Review analysis pipelines processing customer feedback
Social media monitoring checking sentiment trends
Content teams auditing tone before publishing
Research projects analyzing public discourse

API (Standby Mode)

Instant response, no cold start.

Analyze text (GET)

GET /analyze?text=I love this product it is amazing

Analyze text (POST, for longer text)

POST /analyze
Content-Type: application/json
{"text": "The customer service was terrible and nobody helped me resolve the issue"}

Response

{
  "text": "I love this product it is amazing",
  "sentiment": "positive",
  "score": 0.7,
  "confidence": 0.85,
  "details": {
    "wordCount": 8,
    "matchedWords": 2,
    "positiveWords": ["love", "amazing"],
    "negativeWords": [],
    "totalScore": 7,
    "averageScore": 3.5
  },
  "analyzedAt": "2026-04-12T15:00:00Z"
}

Health check

GET /health

How it works

Uses a lexicon of 200+ sentiment scored words (based on the AFINN word list, public domain). Each word has a score from -5 (strongly negative) to +5 (strongly positive). The analyzer tokenizes your text, looks up each word, handles negation ("not good" flips the score), and returns an aggregate result.

No external API calls. No LLM costs. Pure algorithmic analysis. This means every request costs fractions of a cent to run.

Pricing

$0.003 per text analyzed. No subscriptions.

1,000 analyses = $3.00. Run it on your entire review database for less than a cup of coffee.

Pairs well with

Reddit Brand Monitor for analyzing Reddit comment sentiment
Google News Alert for news sentiment tracking
Telegram Channel Monitor for community sentiment analysis

Built by George Kioko

50 actors on Apify, 869+ users. More at https://apify.com/george.the.developer

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