Text Mining-based Analysis of Public Opinions to Environmental Public Services in Jiangsu Province

2018 1st International Conference on Environment Prevention and Pollution Control Technology

生态环境科学

Yu, Cheng^1 ; Li, Yang^1,2 ; Qianqian, Yu^1 ; Min, Wang^1

School of Economics, Nanjing University of Posts and Telecommunications, Nanjing

210046, China^1

College of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing

210046, China^2

关键词: Environmental governances;    Environmental health;    Environmental problems;    Hazardous chemicals;    Jiangsu province;    Negative emotions;    Public opinions;    Public services;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/199/3/032024/pdf
DOI  :  10.1088/1755-1315/199/3/032024

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

In the research project, Python language was used to write program and capture data from Sina Weibo; Besides, text mining was adopted for analysis of public opinions on environmental public services in Jiangsu Province. Research showed that the public tend to pay more attention to noise pollution, community environmental health and hazardous chemicals. Moreover, they were eager to know how serious environmental problems were and what should be to blame for such problems. High negative emotion indexes on community environmental health, environmental governance, environmental protection supervision and air quality were common among the public.