Research on Network Public Opinion Warning Index System Based on Feature Analysis of the Public Opinion

2013 ◽  
Vol 12 (19) ◽  
pp. 5326-5330
Author(s):  
Peiguang Lin ◽  
Lei Liu ◽  
Peiyao Nie ◽  
Xiaoguang Zhu
Keyword(s):  
Public Opinion ◽  
Index System ◽  
Feature Analysis ◽  
The Public ◽  
Network Public Opinion

Deep Structured Learning for Natural Language Processing

2021 ◽  
Vol 20 (3) ◽  
pp. 1-14
Author(s):  
Yong Li ◽  
Xiaojun Yang ◽  
Min Zuo ◽  
Qingyu Jin ◽  
Haisheng Li ◽  
...  
Keyword(s):  
Public Opinion ◽  
Food Safety ◽  
Language Processing ◽  
Early Warning ◽  
Conditional Random Field ◽  
Semantic Features ◽  
Related Sequence ◽  
The Public ◽  
Network Public Opinion

The real-time and dissemination characteristics of network information make net-mediated public opinion become more and more important food safety early warning resources, but the data of petabyte (PB) scale growth also bring great difficulties to the research and judgment of network public opinion, especially how to extract the event role of network public opinion from these data and analyze the sentiment tendency of public opinion comment. First, this article takes the public opinion of food safety network as the research point, and a BLSTM-CRF model for automatically marking the role of event is proposed by combining BLSTM and conditional random field organically. Second, the Attention mechanism based on vocabulary in the field of food safety is introduced, the distance-related sequence semantic features are extracted by BLSTM, and the emotional classification of sequence semantic features is realized by using CNN. A kind of Att-BLSTM-CNN model for the analysis of public opinion and emotional tendency in the field of food safety is proposed. Finally, based on the time series, this article combines the role extraction of food safety events and the analysis of emotional tendency and constructs a net-mediated public opinion early warning model in the field of food safety according to the heat of the event and the emotional intensity of the public to food safety public opinion events.

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 On the Advantages and Disadvantages of Internet Public Opinion

2021 ◽  
Vol 2 (3) ◽  
pp. 126-128
Author(s):  
Xinhua Li ◽  
Zichen Li
Keyword(s):  
Public Opinion ◽  
Opinion Leaders ◽  
The Internet ◽  
Government Officials ◽  
Traditional Media ◽  
The Public ◽  
Advantages And Disadvantages ◽  
Opening Up ◽  
Network Public Opinion

Internet public opinion is an influential and tendentious opinion or speech expressed by the public on the Internet to a certain focus, which has formed a powerful force of public opinion. Internet public opinion has become a concentrated reflection of public opinion, opening up another channel to truly reflect public opinion, and effectively promoting the supervision of government officials and their decisions. In view of the strong emotional weakness of the current network public opinion, we can train forum opinion leaders to guide the public opinion with affinity and consideration, and select and enlarge the network public opinion by connecting the traditional media.

Real Time Dynamic Evaluation and Interactive Performance Test Based on Network Architecture

2014 ◽  
Vol 556-562 ◽  
pp. 5700-5704
Author(s):  
Ting Ting Liu
Keyword(s):  
Public Opinion ◽  
Real Time ◽  
Network Architecture ◽  
Performance Test ◽  
Evaluation Process ◽  
Moral Emotion ◽  
Main Function ◽  
Time Dynamic ◽  
The Public ◽  
Network Public Opinion

BBS's speech in the public opinion has great impact on students’ emotion. If we can regulate public opinion of university BBS of, and deal with the speech with cross impact on students' moral emotion timely, which can make the BBS having good cross and the interaction impact on students' ideological and moral emotion. In this paper we use the MyEclipse5.1 version to expand the public opinion module of the forum, and use with chasing method to calculate the value of object function in the network public opinion evaluation, and join the moral evaluation module in the network architecture. The main function of this module is to optimize the evaluation process of the forum, realize the real-time evaluation of network public opinion, and eliminate the negative cross influence of network evaluation on students' moral emotion.

scholarly journals The Influence of Network Public Opinion on the Public Management of Chinese Government

2019 ◽  
Vol 1 (2) ◽  
Author(s):  
Yichu Wang
Keyword(s):  
Public Opinion ◽  
Public Management ◽  
Daily Life ◽  
Rapid Development ◽  
Science And Technology ◽  
The Internet ◽  
Chinese Government ◽  
The Public ◽  
Network Public Opinion

In the rapid development of science and technology, the Internet has been widely used in the daily life and work of people, which has greatly changed the way people live and work. At this stage, people regard the Internet as the main way to obtain news information, and they have supervised the news contents [1]. Based on this, the article expounds the relevant content of network public opinion, analyzes the role of network public opinion in the public management of Chinese government, and studies the influence of public opinion on the public management of Chinese government.

scholarly journals EOM-NPOSESs: Emergency Ontology Model Based on Network Public Opinion Spread Elements

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Guozhong Dong ◽  
Weizhe Zhang ◽  
Haowen Tan ◽  
Rahul Yadav ◽  
Shuaishuai Tan
Keyword(s):  
Decision Making ◽  
Public Opinion ◽  
Emergency Management ◽  
Data Sources ◽  
Semantic Relationship ◽  
The Public ◽  
Model Based ◽  
Ontology Model ◽  
Important Basis ◽  
Network Public Opinion

The construction of an emergency ontology model plays an important role in emergency management, which is an important basis for emergency public opinion management and decision-making. Integration of network public opinion spread elements into the emergency ontology model is crucial for realizing knowledge sharing in the field of emergency and public opinion responses. In this study, we crawl a large amount of emergency data from different data sources and construct an emergency dataset. Based on this dataset, we analyze the public opinion elements of emergencies and propose an emergency ontology model based on network public opinion spread elements (EOM-NPOSESs). Thereafter, we consider the coronavirus disease (COVID-19) emergency as an example to construct the EOM-NPOSESs. Finally, we design some strategies to realize rule reasoning and present the COVID-19 emergency application based on the constructed EOM-NPOSESs and the geographic information system platform. The results demonstrate that EOM-NPOSESs can not only describe the semantic relationship between emergencies and emergency elements but also perform semantic logical reasoning on different emergencies.

An Individulized Prison Network Public Opinion Algorithm Based on Belief Network

2013 ◽  
Vol 718-720 ◽  
pp. 1956-1960
Author(s):  
Man Li ◽  
Shu Fang Wu ◽  
Jie Zhu
Keyword(s):  
Decision Making ◽  
Public Opinion ◽  
Hot Spots ◽  
Sharp Increase ◽  
Information Network ◽  
Belief Network ◽  
The Public ◽  
Judicial Authority ◽  
The Government ◽  
Network Public Opinion

With the development of Internet and the sharp increase of the number of netizens, Network is becoming an important public platform for the public to express the opinion, Network public opinion is becoming the improtant base of decision making to the government and companies.Managing the public opinion information and timely discovering hot spots is essential to correctly guiding the public opinion trends, so the Network Public Opinion has become a hot point in this years.Because of the different demand, it is impossible for all the users to acquire the satisfied result.This paper describes an individulized prison Network Public Opinion algorithm based on information network to solve this problem expecially for the judicial authority.

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