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.
Dirty data refers to data that is wrong for a company. This inaccuracy not only means that the data is not correct, the correct data can also be “dirty”.
Unstructured data is unfiltered information to which a fixed editing policy is not applied. It is often referred to as raw data.
MLOps is, in simple terms, a set of applications aimed at improving communication and collaboration between your employees in data science and operations of your brand. Machine learning is also defined as a combination of data engineering and development activities.
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