Dell-EMC
E20-007 · Question #101
A data scientist plans to classify the sentiment polarity of 10, 000 product reviews collected from the Internet. What is the most appropriate model to use? Suppose labeled training data is available.
The correct answer is C. Naïve Bayesian classifier. See the full explanation below for the reasoning.
Question
A data scientist plans to classify the sentiment polarity of 10, 000 product reviews collected from the Internet. What is the most appropriate model to use? Suppose labeled training data is available.
Options
- ALogistic regression
- BLinear regression
- CNaïve Bayesian classifier
- DK-means clustering
How the community answered
(17 responses)- A12% (2)
- C82% (14)
- D6% (1)
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