Sentiment Analysis is a powerful feature in the AI Toolkit that helps you understand the sentiment of text data. This API provides an easy way to analyze and classify the sentiment of a given text into positive, negative, or neutral.
Key Features
- Accurate Sentiment Classification: The API can classify sentiments with high accuracy, ensuring you get reliable results.
- Supports Multiple Languages: Our API supports sentiment analysis in various languages, making it versatile for global use.
- Fast and Scalable: The API is designed to handle large volumes of data efficiently.
Usage
To use the Sentiment Analysis API, you need to send a POST request to the following endpoint:
POST /api/sentiment-analysis
Request Format
{
"text": "Your text data here",
"language": "en" // Optional: specify the language of the text, default is auto-detection
}
Response Format
{
"sentiment": "positive/negative/neutral",
"confidence": "0.85" // A value between 0 and 1 indicating the confidence level of the classification
}
Example
Here's an example of a successful request and response:
Request:
POST /api/sentiment-analysis
Content-Type: application/json
{
"text": "I love this product!",
"language": "en"
}
Response:
{
"sentiment": "positive",
"confidence": "0.95"
}
Further Reading
For more detailed information about the Sentiment Analysis API, please refer to the API Reference.