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Regional Differences In Online Public Opinion Topic Evolution And Sentiment Analysi

Posted on:2024-04-18Degree:MasterType:Thesis
Country:ChinaCandidate:M ZhangFull Text:PDF
GTID:2557307094999449Subject:Books intelligence
Abstract/Summary:PDF Full Text Request
In the era of Weibo 2.0,where everyone is online,the continuous innovation of internet technology and the expansion of social media platforms are changing the means of information dissemination.With the increasing number of new social platforms in recent years,traditional information dissemination methods have been broken,and online public opinion has shifted from a traditional single dissemination method to relying on various social media platforms for the dissemination of online public opinion,adding new ways of dissemination.With the sudden outbreak of the COVID-19,the network public opinion of public health emergencies is often mixed with a large number of emotional words and thematic event focus.It is of great significance to properly guide the network public opinion of the focus issues by analyzing the focus issues that people pay attention to at different stages and the negative words that affect emotional tendencies from the perspective of thematic characteristics and emotions.The research takes Sina Weibo platform as the data source,Tianjin and Shanghai in 2022,Aomi Kerong,the first welcome,as the research case,and the blog posts published by microblog users as the research object.From the perspective of in-depth analysis of public opinion,based on emotion analysis and LDA topic model,public opinion analysis is carried out in different regions and different stages.Firstly,according to the life cycle theory and Baidu search index,determine the stages of network public opinion in the two regions,and then extract public opinion data through text collection,and standardize the data processing.Secondly,the LDA thematic analysis method is used to determine the public opinion focus issues at that time,analyzing the differences in focus issues between the two regions at each stage and the social reasons behind the differences.At the same time,the negative emotional words in the two regions were summarized and organized in stages,and the reasons for the emergence of negative emotional words in each stage were analyzed.It is found that the development law of online public opinion under the epidemic is in line with the life cycle theory,and the discussion content presents a multi-topic linkage law.According to the popular topics discussed at different stages after the occurrence of online public opinion by netizens,the differences of hot issues are analyzed from different angles,and the development trend of public opinion on the new crown pneumonia epidemic on the Sina Weibo platform and the attitude of netizens to public opinion focus issues are conducive to relevant departments to obtain public opinion emotions and people’s views on focus issues.As a result,policies and directives in line with the actual situation can be issued to ensure the normal operation order of the Internet and promote the harmonious development of society.It also puts forward suggestions on online public opinion response strategies for similar public health emergencies with strong transmission and pathogenicity,short incubation period and fast onset process.
Keywords/Search Tags:Emotional analysis, Theme mining, Evolution of online public opinion, LDA model, COVID-19
PDF Full Text Request
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