Sentiment Analysis is a simple tool for analyzing the sentiment of a text. It returns the sentiment score and the sentiment label.
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();curl -X POST "https://api.apiverve.com/v1/sentimentanalysis" \
-H "x-api-key: YOUR_API_KEY_HERE" \
-H "Content-Type: application/json" \
-d '{
"param": "value"
}'Get your API key: https://apiverve.com
π For more examples, see the examples folder
Choose your preferred programming language:
npm install @apiverve/sentimentanalysisView NPM Package β | Package Code β
dotnet add package APIVerve.API.SentimentAnalysisView NuGet Package β | Package Code β
pip install apiverve-sentimentanalysisView PyPI Package β | Package Code β
implementation 'com.github.apiverve:sentimentanalysis-api:1.0.0'β Multi-platform support - Use the same API across Node.js, .NET, Python, Android, and browsers β Simple authentication - Just add your API key in the request header β Comprehensive documentation - Full examples and API reference available β Production-ready - Used by developers worldwide
π Full API Documentation: https://docs.apiverve.com/ref/sentimentanalysis
Common use cases for the Sentiment Analysis API:
- β Integration into web applications
- β Mobile app development
- β Data analysis and reporting
- β Automation workflows
- β Microservices architecture
All requests require an API key in the header:
x-api-key: YOUR_API_KEY_HERE
Get your API key: https://apiverve.com
All responses are JSON with this structure:
{
"status": "ok",
"data": { ... }
}- π¬ Support: https://apiverve.com/contact
- π Issues: GitHub Issues
- π Documentation: https://docs.apiverve.com
- π Website: https://apiverve.com
We welcome contributions! Please see CONTRIBUTING.md for guidelines.
For security concerns, please review our Security Policy.
This project is licensed under the MIT License - see the LICENSE file for details.
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