COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Predictive model
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Reinforcement learning
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Sentiment analysis
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Decision tree learning
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Detailed explanation-1: -According to Oxford Dictionary, the definition of Sentiment Analysis is the process of computationally identifying and categorizing opinions expressed in a piece of text, in order to determine whether the writer’s attitude towards a particular topic, the product is positive, negative, or neutral.
Detailed explanation-2: -Still, sentimental isn’t always used negatively. When a person is sentimental, it often means they are sensitive to their own emotions and to those of others. That focus on feelings like tenderness might mean they express love very openly.
Detailed explanation-3: -Polarity refers to the overall sentiment conveyed by a particular text, phrase or word. This polarity can be expressed as a numerical rating known as a “sentiment score”. For example, this score can be a number between-100 and 100 with 0 representing neutral sentiment.
Detailed explanation-4: -Sentiment analysis is the process of detecting positive or negative sentiment in text. It’s often used by businesses to detect sentiment in social data, gauge brand reputation, and understand customers.
Detailed explanation-5: -Sentiment analysis is contextual mining of text which identifies and extracts subjective information in source material, and helping a business to understand the social sentiment of their brand, product or service while monitoring online conversations.