# Urban Color Perception and Sentiment Analysis Based on Deep Learning and Street View Big Data
## 3 Experiments and Results
### Analysis of Color Indicators and Emotional Perception  
#### 3.3.1 Effect of Color Complexity-Coordination on Emotion Perception  
The correlation analysis of color complexity and coordination with various types of emotional perceptions (Table 2) reveals the following: color complexity is positively correlated with boredom and depression, negatively correlated with liveliness and richness, and exhibits no significant correlation with safety and beauty, and color coordination has a significant positive correlation with beauty, safety, and richness, a negative correlation with depression, and exhibits no significant correlation with boredom and liveliness. The emotional experiences of individuals are, to some extent, influenced by the characteristics of colors. An increase in color complexity has been observed to correlate with increases in feelings of boredom and depression, while a high color coordination has been linked to enhanced perceptions of beauty, safety, and richness. A Random Forest Regression (RFR) analysis was conducted to investigate the potential impacts of streetscape color complexity and coordination on residents' emotional perceptions. The assessment of the relative importance of the features of the random forest indicated that the total relative contribution of the two to emotional perceptions was normalized to 100%. The results revealed slight differences in the sensitivity of each emotion to color complexity and coordination (Figure 16). Specifically, color coordination was more effective than color complexity in shaping residents' perceptions of beauty. In contrast, color complexity played a more significant role in stimulating the emotion of \begin{table}
\begin{tabular}{c c c c c c} \hline \hline  & **Beautiful** & **Boring** & **Depressing** & **Lively** & **Safe** & **Wealthy** \\ \hline Color Complexity & \(-\)0.016 & 0.231 ** & 0.041 ** & \(-\)0.186 ** & \(-\)0.006 & \(-\)0.029 * \\ Color Coordination & 0.188 ** & 0.003 & \(-\)0.178 ** & \(-\)0.017 & 0.180 ** & 0.156 ** \\ \hline \hline \end{tabular}  
*. Correlations are significant at the 0.01 level (two-tailed). *. At the 0.05 level (two-tailed), the correlation is significant.  
\end{table} 
Table 2: Color–emotion perception correlation analysis. Figure 15: Distribution of perceived hot and cold spots. boredom. Additionally, color coordination had a stronger influence on the formation of repressed emotions, while color complexity was more critical in stimulating lively emotions. Furthermore, color coordination similarly surpassed the influence of complexity on both safe and rich perceptions. The assessment of feature importance determines the significance of color complexity and coordination in emotional perception. The results of deep learning are made more intuitively interpretable by further plotting partial dependency graphs to demonstrate their marginal effects [26]. As illustrated in Figure 17, the effects of both on the six categories of emotions exhibit complex nonlinear patterns. Figure 16: Importance scores of color metrics on emotional impacts. Figure 17: Bias dependence of color complexity and coordination on perception. (1) The perception of beauty increases and then decreases with color complexity, reaching a peak at 0.2 and then decreasing to the lowest at 0.52, with the remaining values exhibiting significant fluctuations. The color coordination degree is in a \"V\" shape, with a peak near 7.5 and a slight decrease. (2) Boredom is observed to be relatively stable and low at lower levels of color complexity. However, it is noted to fluctuate with an increase in complexity after 0.4. Additionally, color coordination is observed to fluctuate within the range of 4-8, yet it is noted to be stable overall. (3) The sense of depression remains stable at lower complexity levels, but exhibits significant fluctuations following an increase in complexity. The degree of coordination displays an \"inverted V\" pattern, with low values exhibiting a high volatility and high values demonstrating stability.