Sentiment analysis based on rhetorical structure theory:Learning deep neural networks from discourse trees
Table 5: Predictive performance reported for the test set from the Amazon Fine Food dataset, with 6400 randomly picked reviews.
['[BOLD] Method', '[BOLD] Variant', '[BOLD] Data augmentation', '[BOLD] Balanced accuracy', '[BOLD] F1-score']
Regarding traditional machine learning, the random forest with tf-idf features achieves a balanced accuracy of 0.742 and an F1-score of 0.770.