Table 3 The employed variable values in the study of every algorithm.
From: Sentiment analysis using long short term memory and amended dwarf mongoose optimization algorithm
Algorithm | Variable | Value |
|---|---|---|
Supply–demand-based optimization (SDO)45 | \({k}_{f}\) | 0.7 |
\({k}_{r}\) | 0.5 | |
\({k}_{{r}_{j}}\) | 0.3 | |
\({k}_{{r}_{s}}\) | 0.9 | |
World cup optimization (WCO)46 | \(t\) | 1.7 |
\(l\) | 0.5 | |
\(f\) | 0.5 | |
\(c\) | 0.7 | |
\(e\) | 0.2 | |
Equilibrium optimizer (EO)47 | \({E}_{0}\) | 0.4 |
\({E}_{1}\) | 2 | |
Teamwork optimization algorithm (TOA)48 | S | 3 |
\(Coef\) | 2 | |
Manta ray foraging optimization (MRFO)49 | P | 0.4 |
\({K}_{r}\) | 0.9 | |
\({K}_{f}\) | 0.6 |
