Visualization results (best viewed in color). Targets are shown in square brackets. Positive and negative sentiments are highlighted in red and green respectively. In the visualized attention results, the darker the shading of a word, the higher the attention weight it receives from the corresponding model. In general, TG-SAN demonstrates a stronger interpretability than the baseline model. It effectively uncovers all sentiment-related contexts in each case, and identifies the most important ones with respect to a specific target. In contrast, contexts captured by the baseline model are incomplete and inaccurate, as can be seen obviously from the attention results it generates for “waiting” in sentence (1) and “google” in sentence (2).