APPLICATION OF SUPERVISED LEARNING
MACHINE LEARNING PIPELINE
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
Of the following, which is an example of machine learning? (Select TWO.)
|
|
Calculating the shortest route from current location to the destination
|
|
|
Optimizing product pricing based on real-time sales data
|
|
|
Sentiment analysis of text on product reviews
|
|
|
A loan approval system that classifies applicants entirely based on credit score
|
Explanation:
Detailed explanation-1: -Sentiment analysis is a machine learning tool that analyzes texts for polarity, from positive to negative. By training machine learning tools with examples of emotions in text, machines automatically learn how to detect sentiment without human input.
Detailed explanation-2: -Sentiment analysis is done using a variety of techniques which can be divided into two categories: opinion mining and social media analytics.
Detailed explanation-3: -Automatic sentiment analysis: They are mostly based on supervised machine learning algorithms and are actually very useful in understanding complicated texts. Algorithms in this category include support vector machine, linear regression, rnn, and its types.
There is 1 question to complete.