# Tourism Sentiment Chain Representation Model and Construction from Tourist Reviews
## 4 Results
### Tourism Sentiment Chain Generation and Scenario Validation
#### 4.4.2 Tourism Sentiment Chain Realization and Comparative Analysis
These findings underscore the TSC's superior geographical accessibility compared to both Qunar and Mafengwo. Notably, nearly 86% of the TSC-recommended scenic spots are located within a 5 km radius, thereby enhancing spatial efficiency and providing tourists with more feasible and enjoyable travel experiences. To assess thematic coherence, we compared the theme sentiment feature vector differences between adjacent scenic spots recommended by the TSC and those suggested by the Qunar and Mafengwo platforms. As shown in Figure 14, smaller differences in sentiment vectors reflect greater thematic coherence. The TSC achieves an average theme sentiment vector difference of 0.1235--markedly lower than Qunar's 0.2047 and Mafengwo's 0.1983. Furthermore, 73.71% of TSC-recommended spot pairs exhibit a JS divergence below 0.15, surpassing Qunar's 36.96% and Mafengwo's 39.80%. These results demonstrate that the TSC significantly outperforms both platforms in maintaining thematic coherence across \begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Attr\_Former** & **Attr\_Next** & **CAI** & **Force** & **Weight** & **Percentile Rank** \\ \hline Yellow Crane Tower & & 0.0412, 44\% & TS & [0.2409, 0.0064, 0.2980] & [16\%, 75\%, 62\%] \\ ShouYi Park & & 0.1027, 10\% & TS & [0.1296, 0, 0.5840] & [34\%, -, 15\%] \\ ZiYang Park & & 0.1838, 0\% & RC & [0.1353, 0.5000, 0] & [26\%, 7\%, -] \\ She Mountain & & 0.1439, 9\% & TS & [0, 0.3333, 0.4939] & [-, 24\%, 27\%] \\ Turtle Mountain & & 0.0986, 18\% & SP & [1.0, 0.0667, 0.1464] & [0\%, 57\%, 75\%] \\ TieMenGuan & & 0.0070, 91\% & SP & [0.0958, 0, 0] & [50\%, -, -] \\ Jianghan Road & & & & & \\ Pedestrian Street & & 0.0385, 47\% & TS & [0, 0.0198, 0.9122] & [-, 76\%, 1\%] \\ \hline \hline \end{tabular}
\end{table} 
Table 9: Ranking of correlation strength of TSC for Yellow Crane Tourism. itineraries. The gradual and stable evolution of theme sentiment features along the TSC ensures a cohesive and immersive tourist experience, effectively enhancing experiential coherence and emotional engagement throughout the journey. In conclusion, the TSC proposed in this study exhibits substantial improvements in geographical accessibility and thematic coherence of recommended attractions by integrating multiple association dimensions. In contrast to the Qunar platform, which tends to generate homogeneous recommendations dominated by popular attractions, and Mafengwo, whose overreliance on spatial adjacency weakens thematic relevance, the TSC effectively balances spatial proximity and thematic-emotional similarity. This dual optimization ensures both logistical efficiency and experiential coherence in travel itineraries. By enabling smooth transitions across both geographic and affective dimensions, the TSC provides a novel and effective solution to overcome the limitations of conventional tourism recommendation systems, paving the way for more intelligent, user-centered travel planning frameworks.