4.6 Article

Research on Analysis of Evaluation Influence Factors of Air Quality Opinions Sentiment Value and Quantification Method

期刊

WATER AIR AND SOIL POLLUTION
卷 232, 期 7, 页码 -

出版社

SPRINGER INT PUBL AG
DOI: 10.1007/s11270-021-05197-x

关键词

Air quality perception; Social media; Opinion mining; Sentiment analysis; Public perceptions

资金

  1. Major Science and Technology Innovation Projects of Shandong Province [2019JZZY020103]

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Research on sentiment analysis of public opinions related to air quality on social media, education is found to be the most significant influence factor on judging the level of sentiment, proposing a method to calculate opinions sentiment value.
More and more people make opinions on air quality on social media, as science develops and the seriousness of air quality issues. Studies on sentiment analysis keyed to this kind of public opinions will do help in the introduction and perfection of policy of air quality. The evaluation of opinions sentiment is still a hard point in at this stage. There are only a few researches about the factors of the value of opinions sentiment. This article uses opinions related to air quality from Sina Weibo (Chinese Twitter) users, by online questionnaire surveys, and studies the results of opinions sentiment value about air quality in different groups, aiming at doing a research on the evaluation influence factors of opinions sentiment value on air quality. Furthermore, we came up with a solution synthesizing the influential level to calculate opinions sentiment value. We found amounts of respondents had a negative attitude to the opinions. We can now say with some confidence that education is the most significant influence factor on the public to tell the degree of sentiment level of air quality opinions. The sentiment calculation method where we come up could reduce the one-sidedness of different individuals' evaluations of the same opinion to some extent. The research could be reference for air quality management from the perspective of public opinion sentiment analysis.

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