Sentiment Analysis API

Sentiment Analysis is a simple tool for analyzing the sentiment of a text. It returns the sentiment score and the sentiment label.

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 →

Method Platform

Available on: JitPack

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

All responses are JSON with this structure:

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

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

apiverve_sentimentanalysis

Runtime