scholarly journals Sentimental Knowledge Graph Analysis of the COVID-19 Pandemic Based on the Official Account of Chinese Universities

Electronics ◽  
2021 ◽  
Vol 10 (23) ◽  
pp. 2921
Author(s):  
Xiaolin Li ◽  
Zhiyi Li ◽  
Yahe Tian
Keyword(s):  
Public Opinion ◽  
New Media ◽  
Sentiment Analysis ◽  
Topic Model ◽  
Colleges And Universities ◽  
Mobile Internet ◽  
Knowledge Graph ◽  
Analysis Model ◽  
Governance System ◽  
Network Public Opinion

With the advent of the new media mobile Internet era, the network public opinion in colleges and universities, as an extension of social network public opinion, is also facing a crisis in the prevention, control, and governance system. In this paper, the Fiddler was used to collect the comments and other relevant data of the COVID-19 topic articles on the WeChat Official Accounts of China’s top ten universities in 2020. The BILSTM_LSTM sentiment analysis model was used to analyze the sentiment tendency of the comments, and the LDA topic model was used to mine the topics of the comments with different emotional attributes at different stages of COVID-19. Based on sentiment analysis and text mining, entities and relationships in the theme graph of public opinion events in colleges and universities were identified, and the Neo4j graph database was established to construct the sentimental knowledge graph of the pandemic theme of university public accounts. People’s attitudes in university public opinion are easily influenced by a variety of factors, and the degree of emotional disposition changes over time, with the stage the pandemic is in, and with different commentators; official account opinion topics change with the development of the time stage of the pandemic, and students’ positive and negative comment topics show a diverse trend. By incorporating topic mining into the sentimental knowledge graph, the graph can realize functions such as the emotion retrieval of comments on university public numbers, a source search of security threats in university social networks, and monitoring of comments on public opinion under the theme of the pandemic, which provides new ideas for further exploring the research and governance system of university network public opinion and is conducive to preventing and resolving campus public opinion crises.

scholarly journals Research on Sentiment Tendency and Evolution of Public Opinions in Social Networks of Smart City

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Yanni Liu ◽  
Dongsheng Liu ◽  
Yuwei Chen
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Sentiment Analysis ◽  
Smart City ◽  
Topic Model ◽  
Rapid Development ◽  
Mobile Internet ◽  
Time Curve ◽  
Public Opinions ◽  
The Social

With the rapid development of mobile Internet, the social network has become an important platform for users to receive, release, and disseminate information. In order to get more valuable information and implement effective supervision on public opinions, it is necessary to study the public opinions, sentiment tendency, and the evolution of the hot events in social networks of a smart city. In view of social networks’ characteristics such as short text, rich topics, diverse sentiments, and timeliness, this paper conducts text modeling with words co-occurrence based on the topic model. Besides, the sentiment computing and the time factor are incorporated to construct the dynamic topic-sentiment mixture model (TSTS). Then, four hot events were randomly selected from the microblog as datasets to evaluate the TSTS model in terms of topic feature extraction, sentiment analysis, and time change. The results show that the TSTS model is better than the traditional models in topic extraction and sentiment analysis. Meanwhile, by fitting the time curve of hot events, the change rules of comments in the social network is obtained.

scholarly journals Analysis of the Countermeasures of Dealing with the Network Public Opinions on Emergencies of Colleges in Gansu Province

2020 ◽  
Vol 4 (9) ◽  
Author(s):  
Jianwen Duo ◽  
Jin Wang ◽  
Zhengyan Zhan ◽  
Pinghui Yang
Keyword(s):  
Public Opinion ◽  
Colleges And Universities ◽  
Gansu Province ◽  
The Internet ◽  
Public Attention ◽  
Timely Manner ◽  
Local Society ◽  
Short Period ◽  
Safety And Stability ◽  
Network Public Opinion

The popularity of the Internet and the rise of self-media have built a diversified, convenient and instant platform for colleges and universities to do a good job in education, teaching, propaganda and ideology, but at the same time it also brings challenges and problems of college network security and campus stability. Most emergencies in colleges and universities are caused by trivial incidents and are largely unpredictable. If they are put online through online channels, they will attract the attention of the majority of netizens in a short period of time and attract online public attention. Once it is not handled in a timely manner, it will affect the normal education and teaching of colleges and universities and the safety and stability of campuses, and it is likely to form major public opinion on a larger scale, affecting the harmony and stability of the local society. This article adopts the characteristics of the network public opinion of colleges and universities in Gansu Province. It analyzes the current situation and focuses on the countermeasures to deal with network public opinion caused by emergencies in colleges and universities, hoping to provide a reference for further promoting the level and effectiveness of network public opinion in response to emergencies in Gansu Province.

scholarly journals Strategic Optimization of Public Opinion Management in Universities under Change of Network Public Opinion Ecosystem

2020 ◽  
Vol 4 (4) ◽  
pp. p28
Author(s):  
Shui Jingjing
Keyword(s):  
Public Opinion ◽  
New Media ◽  
Ecological Change ◽  
Management Mechanism ◽  
The Public ◽  
Network Media ◽  
Education Of Students ◽  
New Situation ◽  
Class Construction ◽  
Network Public Opinion

The current breakthroughs in Internet big data and AI technologies have accelerated the fission-like dissemination of public opinion on the Internet, providing both opportunities and challenges for university governance. Universities should adapt to the new situation of the ecological change of public opinion with subject, object, carrier and environment as the elements, and optimize the public opinion management mechanism of universities from five levels: building a management system of network public opinion, strengthening the guidance mode of public opinion, promoting the operation of campus new media matrix, paying attention to the education of students’ network media literacy, and focusing on the construction of  open internal and external communication platform, purifying the network space, maintaining the image of universities, and creating a Double First-class construction of universities and necessary ecology.

scholarly journals Emotional characteristics and time series analysis of Internet public opinion participants based on emotional feature words

2020 ◽  
Vol 17 (1) ◽  
pp. 172988142090421 ◽  
Author(s):  
Fengzhen Jia ◽  
Chun-Chun Chen
Keyword(s):  
Time Series ◽  
Public Opinion ◽  
Rapid Development ◽  
Practical Application ◽  
Analysis Model ◽  
Evolution Analysis ◽  
Proposed Model ◽  
Tendency Analysis ◽  
Emotional Lexicon ◽  
Network Public Opinion

In recent years, with the rapid development and wide application of the Internet, it has become the main place for the generation and dissemination of public opinion. To grasp the information of network public opinion in a timely and comprehensive way can not only effectively prevent sudden network malignant events but also provide a reference for the scientific and democratic decision-making of government departments. Therefore, in view of the practical application needs, this article studies the emotional characteristics and the evolution of public opinion over time based on the emotional feature words of network public opinion participants. Firstly, the positive and negative emotional lexicon of HowNet emotional dictionary is used, and the commonly used emotional lexicon and expression symbols are added to the lexicon. At the same time, the polarity annotation method of Chinese emotional lexicon ontology is used to construct the emotional lexicon of this article. Secondly, considering other emotional polarity characteristics in the dictionary, an emotional tendency analysis model is proposed. In this article, emotional analysis is applied to the evolution analysis of network public opinion, and the change of network public opinion characteristics with time series is obtained. The simulation results show that the emotional dictionary constructed in this article and the proposed model of emotional orientation analysis can effectively analyze the emotional characteristics of network public opinion participants and apply emotional analysis to the evolution analysis of network public opinion, which can get the change of emotional characteristics of public opinion participants with time series.

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