Simulation Model on Network Public Opinion Communication Model of Major Public Health Emergency and Management System Design

Li, Lei; Wan, Yujue; Plewczyński, Dariusz; Zhi, Mei

doi:10.1155/2022/5902445

Cited by 6 publications

(8 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Here, equation ( 9) represents the value of the input index and p is the unit value of the decision; formula (10) represents the output value and the unit value determined by p; formula (11) represents the value of the input index and the cell value of model j; formula (12) represents the output value and the j-type cell value [12]. e generalized CCR model for decision unit p is as follows:…”

Section: Improved Dea Algorithm and Classification Algorithmmentioning

confidence: 99%

See 1 more Smart Citation

Application of Improved DEA Algorithm in Public Management Problem Classification

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

In order to effectively solve the related problems in the process of public management, this research proposes an improved algorithm technology based on Data Envelopment Analysis (DEA) and classification algorithm. With the help of lever management, this paper further solves and overcomes the problem of DEA algorithm itself and the defect of “relative effectiveness.” At the same time, in order to avoid the impact on the input and output indicators, with the help of principal component analysis, taking the performance evaluation of public management departments as the research direction, this paper makes an empirical analysis on the performance evaluation of public management departments. The evaluation results of the index system show that the correlation coefficient between the efficiency value of the initial index system and the efficiency value of optimization 2 is 0.977759, and the correlation coefficient is less than 0.7. The evaluation results are more reasonable than those before the improvement.

show abstract

Section: Improved Dea Algorithm and Classification Algorithmmentioning

confidence: 99%

“…They believe that the production efficiency of most listed coal enterprises is acceptable, but there are great individual differences. Many enterprises still have great room for improvement and put forward suggestions to the administrative departments [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

Application of Improved DEA Algorithm in Public Management Problem Classification

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

show abstract

“…Te increasing popularity of the Internet and the number of netizens make society enter the information explosion era. Because the public opinion environment of the social networking platform is more open, free, and private than that of real society, and because public publishing and obtaining information in the network is more convenient and faster than exploring, publicizing, or querying information in the real world, more and more people pay attention to daily hot spots or public events through the Internet [1][2][3][4][5]. When people fnd the information they are interested in in the process of browsing the Internet, many people will express their own opinions and opinions on the content of the information, and the information containing the emotional tendencies and subjective attitudes of netizens constitutes a new network public opinion information [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Network Public Opinion Risk Prediction and Judgment Based on Deep Learning: A Model of Text Sentiment Analysis

Yang

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

Under the background of the gradual development and popularization of mobile Internet information technology, this paper realizes network public opinion monitoring and emotion analysis based on the deep learning method, aiming at the research needs of people’s ideological changes and emotional trends. Aiming at the shortcomings of sentiment dictionaries or machine learning methods in sentiment analysis tasks, this paper builds a sentiment classification model based on deep learning methods. First, the current main text preprocessing methods are introduced, and then a sentiment classification model, BCBL, is proposed, combining BERT, CNN, and Bi LSTM. Compared with traditional models, BCBL can better complete text sentiment classification tasks on standard datasets. Next, in view of the problem that BCBL does not consider the distribution of vocabulary weights, an attention mechanism is introduced to improve BCBL, and then the BCBL-Att model is proposed. Set up multiple sets of comparative experiments again and find that the classification effect and overall performance of BCBL-Att on standard datasets are better than BCBL, indicating that BCBL-Att has more advantages in text sentiment classification tasks.

show abstract

“…It is also a disease of unknown cause to public health in groups, major occupational or food poisoning, or other events that seriously affect public life and property ( 1 ). And it is characterized by suddenness, urgency, uncertainty, multiple subjects, and social impact ( 2 – 4 ). The novel coronavirus, first identified in late 2019, is a major public health emergency, and by the end of November 2022, the World Health Organization reported that the total number of new coronavirus pneumonia (COVID-19) cases had exceeded 625 million, with ~15 million direct and indirect deaths due to new coronaviruses ( 5 ), which are still spreading globally.…”

Section: Introductionmentioning

confidence: 99%

Research on emergency management of global public health emergencies driven by digital technology: A bibliometric analysis

Chen

Liu

et al. 2023

Front. Public Health

View full text Add to dashboard Cite

BackgroundThe frequent occurrence of major public health emergencies globally poses a threat to people's life, health, and safety, and the convergence development of digital technology is very effective and necessary to cope with the outbreak and transmission control of public epidemics such as COVID-19, which is essential to improve the emergency management capability of global public health emergencies.MethodsThe published literatures in the Web of Science Core Collection database from 2003 to 2022 were utilized to analyze the contribution and collaboration of the authors, institutions, and countries, keyword co-occurrence analysis, and research frontier identification using the CiteSpace, VOSviewer, and COOC software.ResultsThe results are shown as follows: (1) Relevant research can be divided into growth and development period and rapid development period, and the total publications show exponential growth, among which the USA, China, and the United Kingdom are the most occupied countries, but the global authorship cooperation is not close; (2) clustering analysis of high-frequency keyword, all kinds of digital technologies are utilized, ranging from artificial intelligence (AI)-driven machine learning (ML) or deep learning (DL), and focused application big data analytics and blockchain technology enabled the internet of things (IoT) to identify, and diagnose major unexpected public diseases are hot spots for future research; (3) Research frontier identification indicates that data analysis in social media is a frontier issue that must continue to be focused on to advance digital and smart governance of public health events.ConclusionThis bibliometric study provides unique insights into the role of digital technologies in the emergency management of public health. It provides research guidance for smart emergency management of global public health emergencies.

show abstract

Simulation Model on Network Public Opinion Communication Model of Major Public Health Emergency and Management System Design

Cited by 6 publications

References 23 publications

Application of Improved DEA Algorithm in Public Management Problem Classification

Application of Improved DEA Algorithm in Public Management Problem Classification

Network Public Opinion Risk Prediction and Judgment Based on Deep Learning: A Model of Text Sentiment Analysis

Research on emergency management of global public health emergencies driven by digital technology: A bibliometric analysis

Contact Info

Product

Resources

About