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
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