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

Abstract

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.