This work is supported by National Natural Science Foundation of China (No.71804055) and National Social Science Foundation of China (No. 19ZDA345).
机构署名：
本校为第一机构
院系归属：
信息管理学院
摘要：
Purpose: A lot of people share their living or travelling experiences about cities by writing posts on social media. Such posts carry multi-dimensional information about the characteristics of cities from the public’s perspective. This paper aims at applying text mining technology to automatically extract city images, which are known as how observers perceive the status of the city, from these social media texts. Design/methodology/approach: This paper proposes a data processing pipeline for automatic city image extraction and applies sentimen...
