



Emotion analysis is the capture and monitoring of ideas, feelings, or feelings expressed by customers who have had various types of interactions, such as social media posts, customer service calls, and surveys. Emotion analysis encompasses the analysis and processing of biometrics used to identify text, natural language, informational linguistics, or biometrics that are expressed towards a company, product, service, person, or event.
Bayesian Networks are one of the most widely used types of probabilistic graphical models. Providing effective solutions for decision making and inference under uncertainty, these networks play a critical role in artificial intelligence, machine learning and data analysis.
Google Pub/Sub is a message-based publish-subscribe service offered by Google Cloud Platform (GCP). This system offers a reliable, asynchronous and scalable messaging infrastructure between applications.
AI Model Evaluation Metrics (AI Model Evaluation Metrics) are mathematical metrics used to measure, compare, and improve the performance of artificial intelligence and machine learning models
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