Open AccessResearch on Intention Perception of Air Pollution Control Based on Text Analysis
Author(s) -
Lü Pan,
Changqing Guan,
Jiatong Li
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/661/1/012001
Subject(s) - air pollution , control (management) , pollution , perception , the internet , research object , computer science , environmental planning , environmental economics , business , environmental science , psychology , world wide web , artificial intelligence , economics , ecology , business administration , chemistry , organic chemistry , neuroscience , biology
In recent years, the issue of air pollution has attracted unprecedented attention, governments at all levels have issued intensive air pollution prevention and control policies to deal with air pollution [1] , however, it is worth paying attention to how people perceive the intention of air pollution control and whether the effect can meet the actual demands of the public. This paper adopts text analysis method and uses the information of Micro Blog platform, especially the short text information, as the research object with the help of ROETCM tool to crawled the data related to air pollution control, so as to analyze the Internet users’ perception of the effect of air pollution control, at the same time, it provides reference for better, more practical and more effective control of air pollution.