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.
Data contracts are formal agreements between the manufacturer of a data product and its consumers. These agreements clearly define the structure, format, quality criteria and conditions of use of the data.
Predictive analysis, a type or extension of predictive analysis, is used to recommend or predict certain actions when certain information states are reached or conditions are met.
Latent Dirichlet Allocation (LDA) is a topic modeling technique that allows the discovery of hidden topic structures on large amounts of text data.
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