Suppose you’re using an NLP system to learn how adult voters respond to a politician. What kind of operation would you have it perform? Question 4 options: Facial recognition Sentiment analysis Pattern matching Classification
Question
Suppose you’re using an NLP system to learn how adult voters respond to a politician. What kind of operation would you have it perform?
Question 4 options:
Facial recognition
Sentiment analysis
Pattern matching
Classification
Solution
The most suitable operation for an NLP (Natural Language Processing) system to learn how adult voters respond to a politician would be "Sentiment Analysis". This is because sentiment analysis is a method used in NLP to identify and extract subjective information from the source materials. It can help determine the overall attitude (positive, negative, neutral, etc.) towards a particular target, such as a politician in this case.
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