The analysis of feelings as a way to measure the tone of a conversation is the principle behind sentiment analysis.
sentiment analysis is the systematic identification, extraction, quantification, and examination of emotional states and subjective information using natural language processing, text analysis, computational linguistics, and biometrics.
Sentiment analysis, also called opinion mining, is a natural language processing (NLP) approach that identifies the emotional tone behind a body of text. It is a common way for organizations to identify and categorize opinions about products, services, or ideas.
Sentiment analysis examines subjective information in a printout: opinions, ratings, feelings, or attitudes about a topic, person, or company. Expressions can be classified as positive, negative, or neutral. Example: “I really like the new design of your website!” → Positive.
Learn more about the analysis of feeling here: brainly.com/question/4692301
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