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:This would be an example ofa. snowball sampling
Explanation:
A participant chooses someone else to participate on their behalf in a study or test. This happens in cases where it is not easy to fin the actual potential participants. It is called a snowball because when you roll a ball in an snpw it keeps attaching more snow until it gets bigger. The sampling is done randomly which means it is a non probability sampling
Snowball sampling consists of two steps:
The researcher will choose potential participants which are only few at the beginning. The chosen participants will recruits more participants, they don't have to give names. This recruitment goes on until the desired sample proportion is reached. The participants will only encourage others to come but that is not forced. It can be ethically challenging because subjects can be of sensitive topics
Why is Snowball Sampling Used?
In cases where a research deals with sensitive topics such as cheating, shoplifting, drug use and other deviant societal behaviours, participants may not feel comfortable to come forward. However they may suggest others in similar situation as them and be assured of confidentiality.
Answer:
they were seperated from enemies
Explanation:
they were safer than most places
