Mood Prediction Api

What is Mood Prediction Api ?

The Mood Prediction API is a powerful endpoint designed to predict user moods based on their input text. It leverages advanced natural language processing (NLP) to analyze sentiment, tone, and emotional cues, making it ideal for applications like customer service chatbots, user experience enhancement, and personalized recommendations. The API provides a seamless way to integrate mood prediction capabilities into your existing systems.

Features

• Mood Detection: Accurately identifies the emotional tone of user input, such as happiness, sadness, anger, or neutrality. • Real-Time Processing: Delivers instant results, enabling responsive and dynamic interactions. • Multi-Language Support: Compatible with various languages, catering to global user bases. • Customizable Thresholds: Allows adjustment of sensitivity levels to suit specific use cases. • Contextual Understanding: Encompasses nuanced language, sarcasm, and idioms for accurate predictions. • Confidence Scoring: Provides a confidence score for each prediction, ensuring transparency and reliability.

How to use Mood Prediction Api ?

1. Obtain an API Key: Register to receive your unique API key for secure authentication.
2. Prepare Your Request: Construct a POST request with the user's text input in JSON format.
3. Send the Request: Use the endpoint https://api.yourdomain.com/mood with the text in the request body.
4. Receive the Response: The API returns a JSON object containing the predicted mood and confidence score.
5. Integrate the Response: Use the result to tailor responses or actions in your application.

Example Request:

{
  "text": "I had an amazing experience!"
}

Example Response:

{
  "mood": "happy",
  "confidence": 0.95
}

Frequently Asked Questions

What languages does the API support?
The Mood Prediction API currently supports English, Spanish, French, German, and Italian, with plans to expand further soon.

How is mood predicted from text?
The API uses advanced NLP models to analyze word choice, sentiment, and context to determine the user's mood with high accuracy.

Where can I find documentation or access the API?
Refer to the official documentation at [link] for detailed instructions and integration guides.