Sentiment Analysis - AI Emotion Detection

Analyze sentiment and detect emotions in text. Perfect for reviews, feedback, and social media analysis.

Features

• Fast Processing: Lightning-fast sentiment analysis - ai emotion detection powered by Azure
• Reliable: 99.9% uptime with automatic failover
• Scalable: Handle single requests or bulk operations
• Secure: Enterprise-grade security with API key authentication
• Well Documented: Comprehensive API documentation and examples

Use Cases

• Development: Integrate into your development workflow
• Automation: Build automated pipelines
• Integration: Connect with other services

Input Parameters

Parameter	Type	Required	Description
text	string	No	Text to analyze for sentiment
texts	array	No	List of texts for batch analysis
includeScores	boolean	No	Include probability scores for each sentiment
includeEmotions	boolean	No	Detect specific emotions (joy, anger, sadness, etc.)
language	string	No	Text language code

Output Format

{
  "success": true,
  "result": { ... },
  "timestamp": "2026-01-07T00:00:00Z"
}

Code Examples

JavaScript (Node.js)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const input = {
  "text": "I absolutely love this product! Best purchase I've ever made.",
  "texts": [
    "Great service!",
    "Terrible experience",
    "It was okay"
  ],
  "includeScores": true,
  "includeEmotions": true,
  "language": "en"
};

const run = await client.actor("vivid_astronaut/sentiment-analysis").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run_input = {
  "text": "I absolutely love this product! Best purchase I've ever made.",
  "texts": [
    "Great service!",
    "Terrible experience",
    "It was okay"
  ],
  "includeScores": true,
  "includeEmotions": true,
  "language": "en"
}

run = client.actor("vivid_astronaut/sentiment-analysis").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

cURL

curl -X POST "https://api.apify.com/v2/acts/vivid_astronaut~sentiment-analysis/runs?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "text": "I absolutely love this product! Best purchase I've ever made.",
  "texts": [
    "Great service!",
    "Terrible experience",
    "It was okay"
  ],
  "includeScores": true,
  "includeEmotions": true,
  "language": "en"
}'

Pricing

Model: Pay per result Price: $0.005 per result

You only pay for successful results. Platform usage costs are included.

API Documentation

Full API documentation is available at:

• Apify API Reference
• Actor API Endpoints

Support

• Issues: Report bugs via Apify Console
• Documentation: Apify Docs
• Community: Apify Discord

Version History

See ./CHANGELOG.md for version history.

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