Sentiment analysis based on rhetorical structure theory:Learning deep neural networks from discourse trees
Table 3: Predictive performance reported for the test set from the Rotten Tomatoes dataset, including 2000 movie reviews.
['[BOLD] Method', '[BOLD] Variant', '[BOLD] Data augmentation', '[BOLD] Balanced accuracy', '[BOLD] F1-score']
the prediction results for the dataset featuring movie reviews from Rotten Tomatoes. The naïve benchmark with tf-idf features yields a balanced accuracy of 0.746 and an F1-score of 0.763. The approaches with term frequencies achieve a similar performance. Here we see no clear indication that one of the baselines is consistently superior.