Aspect-Based Relational Sentiment Analysis Using a Stacked Neural Network Architecture
Table 3: Accuracy for opinion term specific sentiment extraction on gold annotations.
['Model', '[ITALIC] Accuracy', '# [ITALIC] Correct', '# [ITALIC] Incorrect']
We perform the sentiment extraction on the opinion terms of the gold standard annotations of the USAGE corpus in order to measure the sentiment extraction in isolation. To keep the experiments consistent across our different components, we perform the prediction on a 10-fold cross validation of the USAGE documents. We also show the results of a naive approach that always predicts the (most frequent) sentiment label positive to act as a simple baseline.