Is This a Joke? Detecting Humor in Spanish Tweets
Table 3: Confusion matrix for SVM classifier with respect to the test set
['[EMPTY]', 'Positive', 'Negative']
The best results are obtained with SVM, even in terms of accuracy. Also, kNN shows satisfactory output. These two approaches outperform the baselines, with the former clearly surpassing the latter. Meanwhile, GNB and DT have poor precision, although GNB certainly does a better job among these two and has the best recall.