Microsoft Certified Azure AI Fundamentals · Free Practice Question Easy
Question 16
Which machine learning approach is suitable for discerning whether a social media post expresses positive or negative sentiment?
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A
Classification
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B
Clustering
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C
Regression
Reveal correct answer
Correct answer: A
A. Classification is the correct machine learning approach for discerning whether a social media post expresses positive or negative sentiment. Classification algorithms are used to predict discrete outcomes, such as sentiment labels (positive or negative), based on input features. In this case, the goal is to classify social media posts into categories of positive or negative sentiment.
B. Clustering is not the suitable machine learning approach for discerning whether a social media post expresses positive or negative sentiment. Clustering algorithms are used to group similar data points together based on their characteristics, without predefined labels. In the context of sentiment analysis, where the goal is to classify posts as positive or negative, classification is the more appropriate approach.
C. Regression is not the suitable machine learning approach for discerning whether a social media post expresses positive or negative sentiment. Regression algorithms are used to predict continuous numerical values based on input features, not discrete categories like sentiment labels. In the case of sentiment analysis, where the goal is to classify posts as positive or negative, classification is the more appropriate approach.
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