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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Answer:
on other side of the world
Explanation:
Answer:
High versus low context
Explanation:
High context refers to societies or groups where people have close connections over a long period of time. Many aspects of cultural behavior are not made explicit because most members know what to do and what to think from years of interaction with each other. Your family is probably an example of a high context environment.
Low context refers to societies where people tend to have many connections but of shorter duration or for some specific reason. In these societies, cultural behavior and beliefs may need to be spelled out explicitly so that those coming into the cultural environment know how to behave.
Compromise his argument. Hope that helped
