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.
A.
Naïve Bayesian classifier
B.
Linear regression
C.
Logistic regression
D.
K-means clustering