CV

Education

M.S. in Chongqing Technology and Business University, Chongqing, China——–Sep. 2022 – Jun. 2025
Major: Economics, Grade: 88.2/100, Ranking: 1/55
Awards: China National Scholarship(Top 1%), First Class Academic Scholarship(Top 10%), Outstanding Graduates, etc
B.S. in Xiangtan University, Hunan, China——–Sep. 2018 – Jun. 2022
Major: Software Engineering, Grade: 79.97/100, Ranking: 24/87
Awards: Second Class Academic Scholarship(Top 30%), Excellent Student Cadre, Outstanding Volunteer, etc

Publications

Tang Zhonglin, Zhao Yihui, Fu Min, Wang Yuting & Xue Jingyue.(2023).Which factors influence public perceptions of urban attractions? — A comparative study. Ecological Indicators——–SCI Q1
Tang Zhonglin, Fu Min, Wang Yuting & Zhao Yihui.(2023).Spatial characteristics of industrial economic location and its formation in Chongqing, China. Frontiers in Environmental Science——–SCI Q2

Research experience

A Study of the Impact of ‘Domestic’ Brand Emotions on Entrepreneurship Master Thesis, supervised by Prof. Zhonglin Tang——–Mar.2024 – Apr. 2025(Expected)
–Collected over 600,000 brand-related Sina Weibo comments and hundreds of millions of business enterprise data
–Built a corpus based on Sina Weibo comment data and trained my own sentiment analysis model
–Demonstrated that consumers’ emotional attitudes towards brands have a positive impact on entrepreneurial activity
A Study of Whether Geographical Location Affects Tourists’ Perceptions and Preferences for Attractions in Cities of the Same Cultural Type Core Member, supervised by Prof. Zhonglin Tang——–Apr.2023 – Nov. 2023
–Crawled a total of more than 260,000 comment data from the same cultural subtype in different geographic cities - Chengdu and Chongqing and calculated the sentiment score of each review
–Compared the differences between Chongqing and Chengdu, the two co-cultural subtypes, in four ways
–Concluded that cities with the same cultural background, influenced by geography, climate and other factors, can exhibit different images
Enhancing Trail Building In Mountain-Towns: Interaction Effects Of Environmental Factors On WalkScore Team Leader, supervised by Prof. Zhonglin Tang——–Aug. 2023 – Mar. 2024
–Collected data on all the construction trails in the main city of Chongqing and mapped them with Arcgis
–Proposed weights for different poi categories and calculated walkscore for each trail based on its distance
–Analysed the interrelationship between walkscore and the environmental factors with Geodetector
–Concluded the importance of high-rise buildings and high impervious surface environments for building trails
Research on the Strategy for Improving the Quality and Efficiency of Chongqing’s Tourism Industry Team Leader, supervised by Prof. Zhonglin Tang——–May.2023 – May. 2024
Supported by the Scientific Research Innovation Project of Graduate School of Chongqing Technology and Business University
–Crawled the data from 160,000 reviews containing information about tourist attractions in Chongqing
–Modelled and identified the relationship between tourist preferences and destination features
–Emphasised the importance of cultural and natural elements in destination development and the need to create a unique destination image
A Study of Public Preferences and Their Influence in North and South China Core Member, supervised by Prof. Zhonglin Tang——–Nov. 2022 – May. 2023
–Crawled through 180,000 reviews of nearly 200 attractions in representative cities in North and South China and calculated sentiment scores for each text data
–Built a logistic model of public preferences and influencing factors and analysed changes in public preferences in three dimensions: time, space and the vegetation of the landscape
–Discussed the reasons why the same influences affect public preferences differently in different circumstances
Research on Spatial Identification and Mitigation Path of Industrial Environmental Risks along the Upper Reaches of the Yangtze River Core Member, supervised by Prof. Zhonglin Tang——–Sep. 2022 – Dec. 2023
Supported by National Social Science Fund of China
–Utilised POI, AOI data, remote sensing image data, and enterprise business data to conduct industrial distribution, risk assessment, and risk buffer zone analysis in the upper reaches of the Yangtze River
–Proposed a programme for a dynamic monitoring and regulation system for industrial environmental risks along the upper reaches of the Yangtze River
–Responsible for big data analytics, spatial distribution mapping, data statistics and text material writing