Data Origin: Online travel reviews scraped from TripAdvisor (covering review contents, country of origin, date of visit, travel type, and ratings).

Study Area: The Huangpu River corridor and Suzhou River waterfronts in Shanghai, China.
Data Processing Pipeline: Web Scraping (using DrissionPage and lxml) → Translation to Chinese (DeepL API, deep-translator) → Text Cleaning & Segmentation (jieba, stopword filtering) → Word Frequency Analysis & Word Clouds (matplotlib, wordcloud) → Sentiment Analysis (tencentcloud.nlp) → Topic Modeling (gensim LDA) → Keyword Co-occurrence Network Analysis (pyvis.network).
Perception Differences:
Huangpu River: Mainly visited by high-spending tourist groups (couples and families). Perceived as an iconic landmark representing Shanghai’s modern skyline, light shows, economic prosperity, and urban modernization. Visitors predominantly experience it via night cruise ships. Negative reviews center around river water quality, overcrowding, public safety disorder, and cold climate during winter.
Suzhou River: Primarily attracts explorative visitors (solo travelers). Viewed as a venue to experience the city’s historical, cultural, and local identity. Visitors prefer strolling or cycling along the riverfront promenades. Negative feedback relates to localized water pollution and a limited variety of recreational activities.
