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:
B - Amanda has a limited amount of information with which to make her decision and D - Amanda feels pressured by the time constraints on her purchase.
Explanation:
Since Amanda only has one day to find and purchase a new car, the time constraints will apply pressure - she also only had time to read one article about new cars which gives her a limited amound of information before making a big purchase.
Air. If you read reports from the past decade, you will find that the air quality in china is so poor that people have to put a mask on just to walk outside.
