Sarcasm Analysis with BernoulliNB Model
In this notebook, training data is learned by using Bernoulli Naive Bayes model and CountVectorizer. Afterwards, predictions were made on the test data. During the preprocessing phase, the punctuation marks in the headlines were removed and the texts were expanded. In the test_size determination part, the brute_force approach was used experimentally.