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Step1, Preprocessing the article titles, tokenization/lemmatization, etc
Step2, train a classifier (MultiNB, LinearSVC, RFC, etc)
Step3, compare the best score/accuracy classifier
Step4, how to tame the hyperparameter for the classifier, could use 10-fold cross validation. Use validation dataset to tame the hyperparameter.
Step5, predict the new data samples