def get_optimal_polarity_classifier():
"""
Trains and returns the optimal polarity classifier.
"""
tweets = utils.get_pickles(3)
tweets, targets = utils.make_polarity_targets(tweets)
vect_options = {
'ngram_range': (1,1),
'max_df': 0.5
}
tfidf_options = {
'sublinear_tf': False,
'use_idf': True,
'smooth_idf': True,
}
clf = SVM(tweets, targets, vect_options, tfidf_options)
clf.set_feature_set('PC2', features.get_google_sentiment_values(3))
clf.train_on_feature_set()
return clf
