print('DONE FILE 19')
SVM.svm_func(reading.train_A, reading.words_of_tweets, reading.extra_features, 8, 2, dir + '\\SVM\\RFE + One-Hot.txt')
print('DONE FILE 20')
SVM.svm_func(reading.train_A, reading.words_of_tweets, reading.extra_features, 8, 3, dir + '\\SVM\\RFE + Bigrams.txt')
print('DONE FILE 21')
'''
##############################################################################################################################################################
# Call Naive Bayes classification for Irony Detection
##############################################################################################################################################################
'''
NaiveBayes.Bayes(reading.train_A, reading.words_of_tweets, reading.extra_features, 7, 1, dir + '\\Bayes\\Univariate Selection + TF-IDF.txt')
print('DONE FILE 1')
NaiveBayes.Bayes(reading.train_A, reading.words_of_tweets, reading.extra_features, 7, 2, dir + '\\Bayes\\Univariate Selection + One-Hot.txt')
print('DONE FILE 2')
NaiveBayes.Bayes(reading.train_A, reading.words_of_tweets, reading.extra_features, 7, 3, dir + '\\Bayes\\Univariate Selection + Bigrams.txt')
print('DONE FILE 3')
NaiveBayes.Bayes(reading.train_A, reading.words_of_tweets, reading.extra_features, 10, 1, dir + '\\Bayes\\SVD + TF-IDF.txt')
print('DONE FILE 4')
NaiveBayes.Bayes(reading.train_A, reading.words_of_tweets, reading.extra_features, 10, 2, dir + '\\Bayes\\SVD + One-Hot.txt')
print('DONE FILE 5')
