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.
Today's growing volume of data has made it necessary for companies to rethink their data management and storage strategies. Data deduplication is a technique that allows copies of the same or similar data to be detected in data storage systems and stored in a single copy.
Real-time data analytics is the process of analyzing data at the moment or within a very short period of time and making the results available immediately
Variational Autoencoders (VAE) are a powerful model in the world of deep learning and are used to discover hidden structures in data.
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