QuestionMay 10, 2025

Question 7 of 40 You work for a political organization that does sentiment analysis of social media networks Politicians look to your service to see how people feel about certain difficult topics. Your organization has developed an artificial neural network that can search social media for topics and classify the comments as strongly agree, neutral, and strongly disagree. What type of machine learning are you using? reinforcement learning unsupervised clustering supervised learning multiclass classification unsupervised learning binary classification variational auto encoding generative Al

Question 7 of 40 You work for a political organization that does sentiment analysis of social media networks Politicians look to your service to see how people feel about certain difficult topics. Your organization has developed an artificial neural network that can search social media for topics and classify the comments as strongly agree, neutral, and strongly disagree. What type of machine learning are you using? reinforcement learning unsupervised clustering supervised learning multiclass classification unsupervised learning binary classification variational auto encoding generative Al
Question 7 of 40 You work for a political organization that does sentiment analysis of social media networks Politicians look to your service to see how people feel about certain difficult topics. Your organization has developed an artificial neural network that can search social media for topics and classify the comments as strongly agree, neutral, and strongly disagree. What type of machine learning are you using? reinforcement learning unsupervised clustering supervised learning multiclass classification unsupervised learning binary classification variational auto encoding generative Al

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multiclass classification Explanation 1. Identify the type of learning The task involves classifying comments into predefined categories (strongly agree, neutral, strongly disagree). This is a **supervised learning** problem because labeled data is used to train the model. 2. Specify classification type Since there are more than two classes (multiclass), this is specifically **multiclass classification**, which is a subset of supervised learning.

Explanation

1. Identify the type of learning<br /> The task involves classifying comments into predefined categories (strongly agree, neutral, strongly disagree). This is a **supervised learning** problem because labeled data is used to train the model.<br /><br />2. Specify classification type<br /> Since there are more than two classes (multiclass), this is specifically **multiclass classification**, which is a subset of supervised learning.
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