Structured Multi-Head Attention Stock Index Prediction Method Based Adaptive Public Opinion Sentiment Vector

The present study examines the impact of short-term public opinion sentiment on the secondary market,with a focus on the potential for such sentiment to cause dramatic stock price fluctuations and increase investment risk.The quantification of investment sentiment indicators and the persistent analysis of their impact has been a complex and significant area of research.In this paper,a structured multi-head attention stock index prediction method based adaptive public opinion sentiment vector is proposed.The proposedmethod utilizes an innovative approach to transform numerous investor comments on social platforms over time into public opinion sentiment vectors expressing complex sentiments.It then analyzes the continuous impact of these vectors on the market through the use of aggregating techniques and public opinion data via a structured multi-head attention mechanism.The experimental results demonstrate that the public opinion sentiment vector can provide more comprehensive feedback on market sentiment than traditional sentiment polarity analysis.Furthermore,the multi-head attention mechanism is shown to improve prediction accuracy through attention convergence on each type of input information separately.Themean absolute percentage error(MAPE)of the proposedmethod is 0.463%,a reduction of 0.294% compared to the benchmark attention algorithm.Additionally,the market backtesting results indicate that the return was 24.560%,an improvement of 8.202% compared to the benchmark algorithm.These results suggest that themarket trading strategy based on thismethod has the potential to improve trading profits.

Research on Prediction of Sentiment Trend of Food Safety Public Opinion

Emotion has a nearly decisive role in behavior, which will directly affect netizens’ views on food safety public opinion events, thereby affecting the development direction of public opinion on the event, and it is of great significance for food safety network public opinion to predict emotional trends to do a good job in food safety network public opinion guidance. In this paper, the dynamic text representation method XLNet is used to generate word vectors with context-dependent dependencies to distribute the text information of food safety network public opinion. Then, the word vector is input into the CNN-BiLSTM network for local semantic feature and context semantic extraction. The attention mechanism is introduced to give different weights according to the importance of features, and the emotional tendency analysis is carried out. Based on sentiment analysis, sentiment value time series data is obtained, and a time series model is constructed to predict sentiment trends. The sentiment analysis model proposed in this paper can well classify the sentiment of food safety network public opinion, and the time series model has a good effect on the prediction of food safety network public opinion sentiment trend. .

新闻舆论在网络暴力治理中的功能思考——从沃尔特·李普曼的《Public Opinion》谈起

网络暴力通常以言论暴力、舆论极化的形式出现。网络暴力破坏了网络生态,并引起各国的普遍重视。由于新闻媒体议程及其报道框架影响着舆论的形成,新闻舆论对网络舆论的引导也就十分重要。当代人的“媒介化生存”产生了宏大的“拟态环境”,新闻议程对公众议程的塑造日益深重,为权威信源、新闻真相等介入网络舆论治理提供了可能性。主流媒体在场,可以消弭网络空间暴戾之气;权威新闻舆论,可以引导网络空间情感宣泄;发掘新闻真相,能够疏导网络舆论。同时,网络暴力的治理尚需多元力量的参与。

Supervision of Public Opinion under the Background of Social Co-governance-Take the Changsheng Vaccine Incident as an Example

Objective To provide reference for the news media to give play to the role of public opinion supervision in time based on the background of drug safety and social co-governance.Methods The method of case analysis was used to make a retrospective study on the Changsheng vaccine incident in 2018.Then the role of mainstream media,pharmaceutical media,and self-media in the supervision of public opinion was investigated.Results and Conclusion Both mainstream and pharmaceutical media played an excellent role in supervising the Changchun Changsheng vaccine incident.However,the content published by some pharmaceutical media was hard to understand by ordinary people.Besides,the role of self-media in public opinion supervision was polarized.Some self-media closely kept pace with mainstream media in public opinion supervision.Other self-media unilaterally pursued the click rate,publishing false information to guide wrong public opinion.The news media should optimize the supervision efficiency of drug safety.On the one hand,pharmaceutical media should pay attention to the fact that readers may not understand the difficult terms because they are not professional.On the other hand,self-media practitioners should improve their professional quality so that they will not publish some fake news to mislead public opinion.

COVID-19 Public Opinion and Emotion Monitoring System Based on Time Series Thermal New Word Mining

With the spread and development of new epidemics,it is of great reference value to identify the changing trends of epidemics in public emotions.We designed and implemented the COVID-19 public opinion monitoring system based on time series thermal new word mining.A new word structure discovery scheme based on the timing explosion of network topics and a Chinese sentiment analysis method for the COVID-19 public opinion environment are proposed.Establish a“Scrapy-Redis-Bloomfilter”distributed crawler framework to collect data.The system can judge the positive and negative emotions of the reviewer based on the comments,and can also reflect the depth of the seven emotions such as Hopeful,Happy,and Depressed.Finally,we improved the sentiment discriminant model of this system and compared the sentiment discriminant error of COVID-19 related comments with the Jiagu deep learning model.The results show that our model has better generalization ability and smaller discriminant error.We designed a large data visualization screen,which can clearly show the trend of public emotions,the proportion of various emotion categories,keywords,hot topics,etc.,and fully and intuitively reflect the development of public opinion.

SNES: Social-Network-Oriented Public Opinion Monitoring Platform Based on ElasticSearch

With the rapid development of social network,public opinion monitoring based on social networks is becoming more and more important.Many platforms have achieved some success in public opinion monitoring.However,these platforms cannot perform well in scalability,fault tolerance,and real-time performance.In this paper,we propose a novel social-network-oriented public opinion monitoring platform based on ElasticSearch(SNES).Firstly,SNES integrates the module of distributed crawler cluster,which provides real-time social media data access.Secondly,SNES integrates ElasticSearch which can store and retrieve massive unstructured data in near real time.Finally,we design subscription module based on Apache Kafka to connect the modules of the platform together in the form of message push and consumption,improving message throughput and the ability of dynamic horizontal scaling.A great number of empirical experiments prove that the platform can adapt well to the social network with highly real-time data and has good performance in public opinion monitoring.

Public Opinion译为“舆论”考

在中国历史思想语境下,"公"以"国君"、"朝廷"为词源,与统治权力有着某种程度的重合关系,从而导致中国思想界出于反抗皇权建立民主共和国的时代精神的需要,以及西方的"public"词源为"人民",故而将public opinion翻译成为"舆论"更符合中国从传统封建帝国向现代民主国家转变的时代潮流。但与此同时,将public opinion翻译成为"舆论",导致非理性意见与多数人暴政等思想歧义。

China-Australia Relationship: Australian Public Opinion on China

The latest released Lowy Poll 2019 shows Australia’s public opinion towards China has some negative shifts again.What does this mean for yet-to-be-repaired China-Australia relationship?Does Australian public opinion have an impact on its foreign policy?This article took an analysis of this issue.We found public opinion does have an influence on Australia’s China policy formation through influencing the“popular narrative”on China issue.Nevertheless,the economic ties with China are still fundamental.In the field of foreign policy,the government has a relatively high degree of freedom for direction leading.These facts make the prospect of China-Australia relationship more dependent on the will of current government.While taking care of public opinion is always a first task for them.

Social bots and mass media manipulated public opinion through dual opinion climate

Opinion dynamics models based on the multi-agent method commonly assume that interactions between individuals in a social network result in changes in their opinions.However,formation of public opinion in a social network is a macroscopic statistical result of opinions of all expressive individuals(corresponding to silent individuals).Therefore,public opinion can be manipulated not only by changing individuals'opinions,but also by changing their states of expression(or silence)which can be interpreted as the phenomenon"spiral of silence"in social psychology.Based on this theory,we establish a"dual opinion climate"model,involving social bots and mass media through a multi-agent method,to describe mechanism for manipulation of public opinion in social networks.We find that both social bots(as local variables)and mass media(as a global variable)can interfere with the formation of public opinion,cause a significant superposition effect when they act in the same direction,and inhibit each other when they act in opposite directions.

Analysis of microblog public opinion characteristics on traditional Chinese medicine against COVID-19 based on deep learning

The opinion research on traditional Chinese medicine during the coronavirus disease 2019(COVID-19)pandemic on microblog,a social network,took into account the national people’s fight against COVID-19—the research background—the strength of traditional Chinese medicine during the pandemic—the research topic—and the public opinion—the research object.The timeline was divided into three stages according to the overall heat change.In order to explore and compare people’s emotion and topics of concern on traditional Chinese medicine during the different stages of the pandemic,deep learning analysis methods such as emotional analysis and Latent Dirichlet Allocation analysis were used.This study found that the public’s positive“emotional composition”on traditional Chinese medicine significantly improved within the timeline,while the public’s autonomy was enhanced and the overall public opinion started to show an increased trend.

Internet public opinion monitoring in public health emergencies may benefit from artificial intelligence

Internet public opinion is a summary of all kinds of emotions,attitudes and comments conveying and spreading via the internet.How to guide internet public opinion in times of public health emergencies more efficiently and more effectively has become an urgent issue to be solved.Artificial intelligence helps to monitor the internet public opinion in real time,report automatically,provide personalized guidance,make intelligent predictions and issue early warnings.Artificial intelligence technology completes its missions by building platform frameworks,innovating new types of models and simulating human subjective consciousness and behavior with the aid of big data and integration of machine learning.We believe that using Artificial intelligence technology can effectively enhance guidance,influence and credibility throughout internet.

Innovation of Ideological and Political Education in Colleges and Universities from the Perspective of Network Public Opinion

In today's era of rapid development of network media,network public opinion has brought great changes to people's lives.As a place of frequent network public opinion,colleges and universities create a more complex and changeable network environment.This is both an opportunity and a challenge to the ideological and political education in universities.Therefore,through a brief introduction of the connotation and characteristics of network public opinion in colleges and universities,this article explores the innovation of ideological and political education in the context of network public opinion in terms of educational concepts,contents,and methods to ensure that this education plays a positive role in the new era.

A Sports Story and New Public Opinion Manufacturing System

The vulgar culture case of A Simple Noodle Story exposes a lot of culture safety potentials: first, the traditional consensus propaganda in Chinese film devotes much attention to advertisement in earlier stage while less importance to maintain public opinion; second, many innocent masses get lost to be used for creating public opinion; third, the famous academic scholars curry favor with the public with neutral comments; forth, the accumulate disadvantages in old consensus system can not be cured completely. The advanced culture theory in China shoulders heavy responsibilities.

The Research on Social Networks Public Opinion Propagation Influence Models and Its Controllability

Public opinion propagation control is one of the hot topics in contemporary social network research. With the rapid dissemination of information over the Internet, the traditional isolation and vaccination strategies can no longer achieve satisfactory results. A positive guidance technology for public opinion diffusion is urgently needed. First, based on the analysis of influence network controllability and public opinion diffusion, a positive guidance technology is proposed and a new model that supports external control is established. Second, in combination with the influence network, a public opinion propagation influence network model is designed and a public opinion control point selection algorithm(POCDNSA) is proposed. Finally, An experiment verified that this algorithm can lead to users receiving the correct guidance quickly and accurately, reducing the impact of false public opinion information; the effect of CELF is no better than that of the POCDNSA algorithm. The main reason is that the former is completely based on the diffusion cascade information contained in the training data, but does not consider the specific situation of the network structure and the diffusion of public opinion information in the closed set. thus, the effectiveness and feasibility of the algorithm is proven. The findings of this article therefore provide useful insights for the implementation of public opinion control.

Two-Layer Coupled Network Model for Topic Derivation in Public Opinion Propagation

In view of the fact that news can generate derivative topics when it spreads through micro-blogs,a two-layer coupled SEIR public opinion propagation model is proposed in this paper.The model divides the process of public opinion propagation into two layers:the original topic layer and the derived topic layer.Messages are transmitted separately by the SEIR model in the two topic layers,which are independent and interactive.The influence of the topic derivation rate on the propagation trend is established by solving for the equilibrium point and propagation threshold.Further,we establish the relationship between the original topic and the derived topic by simulation.This paper uses the Baidu index to demonstrate the correctness of the model.The relationship between the derived topic and the original topic is verified by adjusting the parameters by the control variable method.The results show that the proposed model is consistent with the propagation of actual public opinion.

Simulating the Spreading of Two Competing Public Opinion Information on Complex Network

In this paper, we investigate the regularity of spreading of information and public opinions towards two competing products in complex networks. By building its mathematical model and simulating its evolution process, we have found the statistical regularity for support rates of two different products at a steady stage. The research shows that strength of the public opinion spreading is proportional to the final support rates of a product.

Objectives and Strategies of Online Public Opinion Analysis on Quality and Safety of Agricultural Products

Agriculture is the foundation of the national economic development and is the basic production and living of human society.In recent years,the development of Internet technology provides information sharing platform for people,and more and more people begin to pay close attention to the dynamic of agricultural production and related industries,especially the quality and safety of agricultural products,much attention has been paid to safety issues.In view of its importance and closeness to the daily life of the public,it is necessary to pay great attention to the mass public opinions on the quality and safety of agricultural products,find out the crux of the problem through scientific research and judgment,and respond to the public questions in a timely manner.In this way,the value of relevant public opinion information can be utilized to provide an important basis for relevant departments to make correct decisions.

Research on the Public Opinions of the USA by the Scholars in China

When researching the public opinions abroad,scholars in China tend to choose the USA as the research object. Well- known for democracy,the USA attaches great importance to the public opinions,the influence of which has already spread to the foreign policies of the USA. As the hot spot of the international politics,there is lots of research upon the relationship between the public opinions and the foreign policies. This paper attempts to analyze the research on the public opinions of the USA by the scholars in China in order to make clear the direction of the related research in the future.

The Transmission Mechanism and Control Strategy of the Network Public Opinion in Frontier Ethnic Regions

Social networking has become an important channel for netizens to express public Opinions and reflect social conditions and public opinions. At the same time, social networks also provide favorable conditions for the widespread dissemination of negative information. The spread of negative information will weaken the credibility of the government and affect government decisions. For this reason, the network public opinion transmission mechanism and control strategy in frontier ethnic areas are studied in depth. Through the analysis of the stage of social media public opinion dissemination, a more reasonable social media public opinion dissemination stage model was concluded, and the social media public opinion dissemination mechanism and the linkage mechanism of the dissemination mechanism were derived, which solved the problem of how social media sentiment was disseminated. According to the analysis of the stage characteristics of social media public opinion dissemination , the six stages of public opinion transmission were divided into different levels , and corresponding strategies were proposed for different levels of the dissemination stage.

Online Public Opinion Guidance Strategy for College Students in the Era of We Media

In the era of We Media, online public opinion in colleges and universities has become an important front of ideological and political, with some characteristics such as concealment, diversity and sensitivity, interaction and immediacy of communication. It is urgent to carry out some researches about network public opinion analysis and guidance mechanism. It is a new challenge that the ideological and political education in colleges and universities, must face how to guide online public opinion effectively. The team building should be strengthened and the right of public opinion should be returned. The platform construction should be enriched, and it is important to give the chance to various media. Therefore, it should strengthen the mechanism construction, and public opinion guidance must be scientific and professional. Colleges and universities should build a clear network space from such aspects as the construction of network public opinion guidance institutions, the cultivation of opinion leaders, the perfection of early warning mechanism, the improvement of university network literacy and the guidance of campus media.