# Interpretability in Sentiment Analysis: A Self-Supervised Approach to Sentiment Cue Extraction
## 5 Experiments
### Case Study: Comparing SS-SCE with Established Interpretability Methods
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Method** & **Result** & **Precision** & **Recall** & **F1** \\ \hline \multirow{3}{*}{human} & This is a **great horror movie. Great plot**. And a person with a fear of midgets will & & & \\  & definitely **love** the evil midget! This is a **must see for any horror fan**. Finally a & & & \\  & lower budget movie with decent effects and a **great cast! Highly recommended**. & & & \\ \hline \multirow{3}{*}{SS-SCE\({}_{SST-2}\)} & This is a **great horror movie. Great plot**. And a person with a fear of midgets will & & & \\  & definitely **love** the evil midget! This is a **must see for any** horror fan. Finally a & & & \\  & lower budget movie with decent effects and a **great cast! Highly recommended**. & & & \\ \hline \multirow{3}{*}{SS-SCE\({}_{Yelp}\)} & This is a **great** horror movie. Great plot. And a person with a fear of midgets will & & & \\  & definitely love the evil midget! This is a **must see for any** horror fan. Finally a & & & \\  & lower budget movie with decent effects and a **great cast! Highly recommended**. & & & \\ \hline \multirow{3}{*}{SS-SCE\({}_{IMDb}\)} & This is a great horror movie. Great plot. And a person with a fear of midgets will & & & \\  & definitely love the evil midget! This is a **must see for any horror fan. Finally a & & & \\  & lower budget movie with decent effects and a **great cast! Highly recommended**. & & & \\ \hline \multirow{3}{*}{LIME} & This is a great horror movie. Great plot. And a person with a fear of midgets will & & & \\  & definitely love the evil midget! This is a **must see for any** horror fan. Finally a & & & \\  & **lower budget movie with decent effects and a great cast! Highly recommended**. & & & \\ \hline \multirow{3}{*}{LIG} & This is a great horror movie. Great plot. And a person with a fear of midgets will & & & \\  & definitely love the evil midget! This is a **must see for any** horror fan. Finally a & & & \\  & lower budget movie with decent effects and a **great cast! Highly recommended**. & & & \\ \hline \multirow{3}{*}{OCC} & This is a great horror movie. Great plot. And a person with a **fear** of midgets will & & & \\  & definitely **love the evil midget! This is a **must see for any** horror fan. Finally a & & & \\  & **lower budget movie with decent effects and a great cast! Highly recommended**. & & & \\ \hline \multirow{3}{*}{SVS} & This is a great horror movie. Great plot. And a person with a **fear** of midgets will & & & \\  & definitely **love the evil midget! This is a **must see for any** horror fan. Finally a & & & \\  & lower budget movie with decent effects and a great cast! Highly recommended**. & & & \\ \hline \multirow{3}{*}{LDS} & This is a great horror movie. Great plot. And a person with a fear of **midgets will** & & & \\  & **definately love the evil midget! This is a **must see for any**horror fan. Finally a & & & \\  & **lower budget movie with decent effects** and a great cast! Highly recommended**. & & & \\ \hline \hline \end{tabular} The bold tokens represent the extracted sentiment cues.  
\end{table} 
Table 7: This table shows the performance comparison of our Self-Supervised Sentiment Cue Extraction (SS-SCE) model trained on three datasets with SOTA interpretability methods on a positive instance. stances, they sometimes compromise on recall, indicating a more selective extraction of cues. In comparison to the SOTA interpretability methods, the SS-SCE approach stands out for its enhanced capability to identify both explicit and subtle sentiment indicators. Simultaneously, it is important to note that our approach represents a global interpretability method, which significantly outperforms traditional techniques in terms of efficiency when applied to new data. This global perspective enables a comprehensive understanding of the model's decision-making process across various datasets and scenarios, rather than focusing on individual instances.