Study on Detection of Public Opinion and Its Methods in We Media

Xiang, Dawei; Wu, Yanbo; He, Shan

doi:10.1088/1742-6596/1607/1/012124

Cited by 1 publication

(1 citation statement)

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“…Liu & He, 2020). The government is able to implement an effective and quick early warning system in response to public opinion if computers automatically evaluate and classify the semantics of online public opinion (Xiang et al, 2020).…”

Section: Trends Of Total Mentions Covid-19 Va Ccine On Twittermentioning

confidence: 99%

Trend Analysis of Public Enthusiasm for COVID-19 Vaccines on Social Media

Lawelai

Sadat

Suherman

et al. 2022

SMC

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Social media users benefit from advances in information and communication technology. Each user can access and obtain information by using a mobile phone or other communication device connected to the internet. The implementation of the COVID-19 Vaccination is one of the hottest topics discussed on the Twitter social media platform. Therefore, the purpose of this study is to analyze the trend of public interest in the COVID-19 vaccine on Twitter. This study utilizes Twitter data crawled by the Drone Emprit Academic application using the term "Pfizer Vaccine Enthusiasm and Moderna Vaccines". This study examines 170,641 Twitter mentions related to COVID-19 vaccine messages. Based on the findings of this study, the public's response to COVID-19 immunization was 42,963 mentions from August 23, 2021, to April 23, 2022. Based on the findings of this study, Asia, Europe, and the United States factored for the vast bulk of tweets about the COVID-19 vaccination. There were 25,288 (59 percent) mentions of positive emotions, followed by 16,484 (38 percent) comments and 1,191 (3 percent) topics of neutral emotions. This study's findings enable the government to understand the complexities of the widely discussed topic of COVID-19 immunization, which it can utilize to promote policies and enhance service quality.

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Section: Trends Of Total Mentions Covid-19 Va Ccine On Twittermentioning

confidence: 99%