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URL: https://apify.com/vivid_astronaut/sentiment-analysis

⇱ Sentiment Analysis API - Text Emotion Detection Β· Apify


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from $10.00 / 1,000 results

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Sentiment Analysis

Analyze sentiment in text using AI. Detect positive, negative, or neutral emotions. Perfect for social media monitoring, customer feedback analysis, and brand reputation tracking.

Pricing

from $10.00 / 1,000 results

Rating

0.0

(0)

Developer

πŸ‘ Fabio Suizu

Fabio Suizu

Maintained by Community

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Bookmarked

8

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0

Monthly active users

5 months ago

Last modified

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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

ParameterTypeRequiredDescription
textstringNoText to analyze for sentiment
textsarrayNoList of texts for batch analysis
includeScoresbooleanNoInclude probability scores for each sentiment
includeEmotionsbooleanNoDetect specific emotions (joy, anger, sadness, etc.)
languagestringNoText 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 =newApifyClient({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:

Support

Version History

See ./CHANGELOG.md for version history.


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