apiverve / sentimentanalysis

1.2.2 2026-10-21 04:02 UTC

Requires

• php: >=7.4
• guzzlehttp/guzzle: ^7.0

Requires (Dev)

• phpunit/phpunit: ^9.0

MIT

• APIVerve

• api
• apiverve
• sentimentanalysis
• sentiment analysis api
• sentiment api
• free sentiment analysis api
• social media sentiment analysis api
• text analysis api

Published on Packagist.org on 2026-10-21 14:25 UTC

README

Sentiment Analysis evaluates the emotional tone of any text string. It returns an AFINN valence score, a comparative word-normalized score, and a five-tier sentiment label from very negative to very positive.

The Sentiment Analysis API provides a simple, reliable way to integrate sentiment analysis functionality into your applications. Built for developers who need production-ready sentiment analysis capabilities without the complexity of building from scratch.

View API Details →

Available on:

Quick Start

Using JavaScript

async function callSentimentAnalysisAPI() {
    try {
        const requestBody = {
    "text": "I'm so excited that tomorrow is going to be sunny! Can't wait!"
};

        const response = await fetch('https://api.apiverve.com/v1/sentimentanalysis', {
            method: 'POST',
            headers: {
                'x-api-key': 'YOUR_API_KEY_HERE',
                'Content-Type': 'application/json'
            },
            body: JSON.stringify(requestBody)
        });

        const data = await response.json();
        console.log(data);
    } catch (error) {
        console.error('Error:', error);
    }
}

callSentimentAnalysisAPI();

Using cURL

curl -X POST "https://api.apiverve.com/v1/sentimentanalysis" \
  -H "x-api-key: YOUR_API_KEY_HERE" \
  -H "Content-Type: application/json" \
  -d '{
    "text": "I'\''m so excited that tomorrow is going to be sunny! Can'\''t wait!"
}'

Get your API key: https://apiverve.com

📁 For more examples, see the examples folder

Installation

Choose your preferred programming language:

📦 NPM (JavaScript/Node.js)

npm install @apiverve/sentimentanalysis

View NPM Package → | Package Code →

🔷 NuGet (.NET/C#)

dotnet add package APIVerve.API.SentimentAnalysis

View NuGet Package → | Package Code →

🐍 Python (PyPI)

pip install apiverve-sentimentanalysis

View PyPI Package → | Package Code →

💎 Ruby (RubyGems)

gem install apiverve_sentimentanalysis

View RubyGems Package → | Package Code →

🐘 PHP (Packagist)

composer require apiverve/sentimentanalysis

View Packagist Package → | Package Code →

🎯 Dart (pub.dev)

dart pub add apiverve_sentimentanalysis

View pub.dev Package → | Package Code →

🤖 Android (JitPack)

implementation 'com.github.apiverve:sentimentanalysis-api:1.0.0'

Package Code →

🐹 Go

go get github.com/apiverve/sentimentanalysis-api/go

Package Code →

Why Use This API?

Feature	Benefit
Multi-language SDKs	Native packages for JavaScript, Python, C#, Go, and Android
Simple Integration	Single API key authentication, consistent response format
Production Ready	99.9% uptime SLA, served from 24 global regions
Comprehensive Docs	Full examples, OpenAPI spec, and dedicated support

Documentation

• 🏠 API Home: Sentiment Analysis API
• 📚 API Reference: docs.apiverve.com/ref/sentimentanalysis
• 📖 OpenAPI Spec: openapi.yaml
• 💡 Examples: examples/

What Can You Build?

The Sentiment Analysis API is commonly used for:

• Web Applications - Add sentiment analysis features to your frontend or backend
• Mobile Apps - Native SDKs for Android development
• Automation - Integrate with n8n, Zapier, or custom workflows
• SaaS Products - Enhance your product with sentiment analysis capabilities
• Data Pipelines - Process and analyze data at scale

API Reference

Authentication

All requests require an API key in the header:

x-api-key: YOUR_API_KEY_HERE

Get your API key: https://apiverve.com

Response Format

Every APIVerve endpoint returns the same envelope — check status, then read data:

{
  "status": "ok",
  "error": null,
  "data": { ... }
}

Example Response

A real response from the Sentiment Analysis API:

{
  "status": "ok",
  "error": null,
  "data": {
    "comparative": 0.25,
    "sentimentText": "positive",
    "sentiment": 3,
    "isPositive": true,
    "isNegative": false,
    "normalizedScore": 0.3
  }
}

Support & Community

• 🏠 API Home: Sentiment Analysis API
• 💬 Support: https://apiverve.com/contact
• 🐛 Issues: GitHub Issues
• 📖 Documentation: https://docs.apiverve.com
• 🌐 Website: https://apiverve.com

Contributing

We welcome contributions! Please see CONTRIBUTING.md for guidelines.

Security

For security concerns, please review our Security Policy.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

Built with ❤️ by APIVerve

Copyright © 2026 APIVerve. All rights reserved.