endpoint for usecase
Acts as an instructor in an interactive way
Generate conversational responses using a chatbot
Generate conversational responses via chat
Build chatbots that understand user intent
part of learning from a udemy course
Chat with a customer support bot for instant assistance
Engage in a conversation with a customer inquiry chatbot
Interact with a customer service chatbot
Generate responses to user queries in a conversational chat format
Reasoner
Generate conversation responses using a chatbot
Generate responses to user messages using a chatbot
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.
• 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.
https://api.yourdomain.com/mood with the text in the request body.Example Request:
{
"text": "I had an amazing experience!"
}
Example Response:
{
"mood": "happy",
"confidence": 0.95
}
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.