## 3 Results  
### High-Frequency Feature Word Analysis  
In accordance with the data format obtained, high-frequency keywords were extracted using the LDA-Gibbs model, resulting in an original Chinese word segmentation set. Subsequently, data from the original Chinese word segmentation set underwent filtering, utilizing a predefined stop-word list to obtain an adjusted textual dataset. This process involved removing irrelevant vocabulary and merging duplicate words, culminating in extracting 100 high-frequency terms related to the urban section of the Shijiazhuang Hutuo River Corridor (Table S1). From a lexical perspective, high-frequency vocabulary primarily comprises nouns, verbs, and adjectives. Among these, nouns constitute the most significant quantity, encompassing visitor types, geographic locations, scenic spots, facility names, functions, and visitation times. Verbs chiefly reflect features of visitors' behaviors, motivations, and the process of visitor activities. Adjectives are mainly employed to portray visitors' attitudes, moods, and perceptions and describe the modified architectural image features, reflecting the sensory characteristics of the Hutuo River Corridor. The adjective \"good\" stands out as the most frequently mentioned term, indicating overall satisfaction with the urban river corridor. \"Children\" is the most mentioned noun, suggesting that the Hutuo River Corridor provides an ideal place for family outings for residents. Additionally, visitors may access with \"friends\". Nouns like \"park\", \"Hutuo River\", \"Shijiazhuang\", \"scenic area\", \"Zhengding\", \"riverside\", \"flower sea\", \"nearby\", \"location\", \"Taiping River\", and \"scenic area\" represent visitors' understanding of the geographic location of the scenic area. Other nouns such as \"time, scenery, environment, lighting, weather, flower sea, facility, transportation, season\" indicate visitor interest in the urban river corridor's environmental features and physical attributes, with a preference for visiting during favorable weather. \"Tickets\" and \"free\" rank high, underscoring visitor concern about the corridor's fees and related charges. Adjectives like \"suitable, beautiful, convenient, attractive, happy, fun\", along with \"recommendation\" and \"worth\" reflect visitors' experiences. Verbs such as \"perceive, check-in, drive, like, come out, take photos, barbecue, camp, drive, play, picnic\" express visitors' deep engagement in experiential behaviors during visits, highlighting the corridor's diverse offerings and functions. However, the \"parking\" issue may leave room for improvement. A semantic network graph was constructed using the top 50 high-frequency feature words (Figure 3), followed by an analysis of node centrality using degree centrality. The size of nodes represents their degree of centrality, with larger nodes indicating higher centrality, positioning them as pivotal elements within the network. Edge thickness signifies the strength of association between two nodes, where thicker connections denote more co-occurrences and stronger correlations between words. Figure 3 exhibits a divergent pattern radiating from the center outward. \"Good\", \"children\", and \"place\" emerge as the predominant high-frequency words, often serving as the focal points for evaluations. This phenomenon epitomizes a concentrated reflection of urban river corridor utilization. Among these, \"children\" holds a central position, serving as the most critical node in the network. It is frequently associated with vocabulary expressing children's activities, locations, and moods, such as \"good, take photos, place, amuse, scenery, suitable, happy, beautiful\", and more. Elements related to the destination, centered around the core term \"place\", form prominent themes in the comments, including \"perceive, good, children, scenery, park, time, check-in, barbecue, beautiful\". These elements exhibit a closely interconnected structure.