## 4 Results
### Performance of Sentiment Analysis Modality
\begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline
**(a) BERT** & \multicolumn{8}{c}{**(b) GPT-2**} \\ \hline
**Sentiment** & **PREC** & **REC** & **F1** & **Sentiment** & **PREC** & **REC** & **F1** \\ \hline Negative & 0.81 & 0.96 & 0.88 & Negative & 0.59 & 0.59 & 0.59 \\ \hline Neutral & 0.98 & 0.85 & 0.91 & Neutral & 0.74 & 0.81 & 0.77 \\ \hline Positive & 0.93 & 1 & 0.96 & Positive & 0.8 & 0.64 & 0.71 \\ \hline Average: & 0.91 & 0.94 & 0.92 & Average: & 0.71 & 0.68 & 0.69 \\ \hline
**ACC**: & \multicolumn{8}{c}{**(d) RF**} \\ \hline
**Sentiment** & **PREC** & **REC** & **F1** & **Sentiment** & **PREC** & **REC** & **F1** \\ \hline Negative & 0.81 & 0.48 & 0.6 & Negative & 0.88 & 0.52 & 0.65 \\ \hline Neutral & 0.72 & 0.94 & 0.82 & Neutral & 0.69 & 0.98 & 0.81 \\ \hline Positive & 0.8 & 0.64 & 0.71 & Positive & 1 & 0.56 & 0.72 \\ \hline Average: & 0.78 & 0.69 & 0.71 & Average: & 0.86 & 0.69 & 0.73 \\ \hline
**ACC**: & \multicolumn{8}{c}{**(0.75) ACC**:} \\ \hline
**(e) LR** & \multicolumn{8}{c}{**(0) MLP**} \\ \hline
**Sentiment** & **PREC** & **REC** & **F1** & **Sentiment** & **PREC** & **REC** & **F1** \\ \hline Negative & 0.81 & 0.48 & 0.6 & Negative & 0.62 & 0.59 & 0.6 \\ \hline Neutral & 0.71 & 0.94 & 0.81 & Neutral & 0.72 & 0.79 & 0.75 \\ \hline Positive & 0.79 & 0.6 & 0.68 & Positive & 0.76 & 0.64 & 0.7 \\ \hline Average: & 0.77 & 0.67 & 0.70 & Average: & 0.70 & 0.67 & 0.68 \\ \hline
**ACC**: & \multicolumn{8}{c}{**(0.74) ACC**:} \\ \hline
**(g) 1D-CNN** & \multicolumn{8}{c}{**(h) DBMM (BERT + SVM + RF)**} \\ \hline
**Sentiment** & **PREC** & **REC** & **F1** & **Sentiment** & **PREC** & **REC** & **F1** \\ \hline Negative & 0.7 & 0.52 & 0.6 & Negative & 0.84 & 0.99 & 0.92 \\ \hline Neutral & 0.67 & 0.85 & 0.75 & Neutral & 0.99 & 0.9 & 0.94 \\ \hline Positive & 0.56 & 0.4 & 0.47 & Positive & 0.96 & 1 & 0.98 \\ \hline Average: & 0.64 & 0.59 & 0.61 & Average: & 0.93 & 0.96 & 0.95 \\ \hline
**ACC**: & \multicolumn{8}{c}{**(0.65) ACC**:} \\ \hline \hline \end{tabular}
\end{table} 
Table 14: Results of SA per sentiment class on EmoUERJ. \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline
**(a) BERT** & \multicolumn{8}{c}{**(b) GPT-2**} \\ \hline
**Sentiment** & **PREC** & **REC** & **F1** & **Sentiment** & **PREC** & **REC** & **F1** \\ \hline Negative & 0.92 & 0.92 & 0.92 & Negative & 0.8 & 0.33 & 0.47 \\ \hline Neutral & 0.83 & 0.77 & 0.8 & Neutral & 0.5 & 0.38 & 0.43 \\ \hline Positive & 0.67 & 0.73 & 0.7 & Positive & 0.48 & 0.91 & 0.62 \\ \hline Average: & 0.81 & 0.81 & 0.81 & Average: & 0.59 & 0.54 & 0.51 \\ \hline
**ACC**: & \multicolumn{8}{c}{**(0.81) ACC**:} \\ \hline
**(o) LR** & \multicolumn{8}{c}{**(d) SVM**} \\ \hline
**Sentiment** & **PREC** & **REC** & **F1** & **Sentiment** & **PREC** & **REC** & **F1** \\ \hline Negative & 0.86 & 1 & 0.92 & Negative & 0.92 & 1 & 0.96 \\ \hline Neutral & 0.61 & 0.85 & 0.71 & Neutral & 0.65 & 0.85 & 0.73 \\ \hline Positive & 0.75 & 0.27 & 0.4 & Positive & 0.67 & 0.36 & 0.47 \\ \hline
**Average:** & **0.74** & **0.71** & **0.68** & **Average:** & **0.75** & **0.74** & **0.72** \\ \hline
**ACC**: & \multicolumn{8}{c}{**(0.72) ACC**:} \\ \hline
**(e) RF** & \multicolumn{8}{c}{**(0) MLP**} \\ \hline
**Sentiment** & **PREC** & **REC** & **F1** & **Sentiment** & **PREC** & **REC** & **F1** \\ \hline
**Negative** & 0.86 & 1 & 0.92 & Negative & 0.8 & 1 & 0.89 \\ \hline Neutral & 0.53 & 0.69 & 0.6 & Neutral & 0.6 & 0.69 & 0.64 \\ \hline Positive & 0.4 & 0.18 & 0.25 & Positive & 0.67 & 0.36 & 0.47 \\ \hline Average: & 0.60 & 0.62 & 0.59 & Average: & 0.69 & 0.68 & 0.67 \\
**ACC**: & \multicolumn{8}{c}{**(0.64) ACC**:} \\ \hline \hline \end{tabular}
\end{table} 
Table 13: Results of SA per sentiment class on ESD.