The Experts below are selected from a list of 114048 Experts worldwide ranked by ideXlab platform
Irving Crespi - One of the best experts on this subject based on the ideXlab platform.
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The Public Opinion Process: How the People Speak
1997Co-Authors: Irving CrespiAbstract:Contents: Introduction. A Public Opinion Model. The Emergence of Individual Opinions. Collective Opinion as a Social Force. Effects of Communication Technology. Public Opinion in Nondemocratic Societies. Public Opinion In Democracies. Polls and the Public Opinion Process. A Kaleidoscopic Process.
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The Public Opinion Process: How the People Speak
LEA's communication series, 1997Co-Authors: Irving CrespiAbstract:What is Public Opinion? How can we best study it? This work presents a "process model" that answers these questions by defining Public Opinion in a way that also identifies an approach to studying it. The model serves as a framework into which the findings of empirical research are integrated, producing a comprehensive understanding of Public Opinion that encompasses the congeries of middle-range theories that have emerged from empirical research. The three-dimensional process model--and the way it is explicated--satisfies the diverse and sometimes divergent needs and interests of political scientists, sociologists, social psychologists, and communication specialists who study Public Opinion. This is achieved by clearly differentiating and interrelating the following: * individual Opinions--the judgmental outcomes of a process in which attitudinal systems--comprised of beliefs, values/interests, and feelings--function as intervening variables that direct and structure perceptions of Public issues; * collective Opinions--the outcomes of communication from which mutual awareness emerges and that integrate separate individual Opinions into a significant social force; and * political roles of collective and individual Opinions--the outcomes of the extent to which collective and individual Opinions have achieved legitimacy as the basis for governing a people. DON'T USE THIS PARAGRAPH FOR GENERAL CATALOGS… Each dimension of the model has its corresponding subprocess: transactions between individuals and their environments, communications among individuals and collectives, and political legitimation of Public Opinion. Since the process model is -- by definition -- interactional, none of the three dimensions has theoretical or sequential priority over the others. Instead of treating the psychological, political, and sociological aspects of Public Opinion as separate stages of an unidirectional process, the three aspects are modeled as dimensions of a complex, ongoing system in continuous interaction with each other. This conceptualization satisfies the need for a truly interdisciplinary theory in that it demands that each dimension be studied in terms of its defining sub-process. It also avoids the twin errors of reductionism and reification in the study of Public Opinion.
Xuegang Chen - One of the best experts on this subject based on the ideXlab platform.
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Research on clustering analysis of Internet Public Opinion
Cluster Computing, 2019Co-Authors: Xuegang Chen, Sheng Duan, Lu-da WangAbstract:In order to enhance the real-time performance of Internet Public Opinion recognizing and early warning, and improve the accuracy of the analysis of Internet Public Opinion for hot spots, similarity analysis methods of Internet Public Opinion are put forward. Firstly, web crawler technology is introduced for obtaining accurate and comprehensive Public Opinion. Secondly, propose similarity algorithms from the aspects of known and unknown of the subject. At the same time, considering the uncertainty and fuzzy of Internet Public Opinion, the concept of information entropy is introduced, and present a similarity analysis approach of Internet Public Opinion based on information entropy, and can cluster and identify hot spots and crisis events of Internet Public Opinion. Experimental results show that the proposed methods can quickly obtain the Internet Public Opinion, and has high accuracy rate of clustering, which provide an important technical support for Internet Public Opinion monitoring and recognizing.
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Trend prediction of internet Public Opinion based on collaborative filtering
2016 12th International Conference on Natural Computation Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2016Co-Authors: Xuegang Chen, Jieren Cheng, Xiangyan Tang, Jialu ZhangAbstract:Collaborative filtering recommendation has very important applications in the personalized recommendation. Especially it is widely used in e-commerce. The key of this approach is to find similar users or items using user-item rating matrix so that the system can show recommendations and provide a lot similar or interesting advice for users. The method of internet Public Opinion trend prediction based on collaborative filtering is proposed in order to solve the problem of internet Public Opinion trend prediction. This paper introduces the collaborative filtering algorithm and study user-based collaborative filtering algorithm, then the principles of internet Public Opinion trend prediction based on collaborative filtering are analyzed, and the frame structure of internet Public Opinion trend prediction is designed. Furthermore, a series of experimental results show that this method can effectively predict the development trend of internet Public Opinion.
Xiaojun Li - One of the best experts on this subject based on the ideXlab platform.
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The Design and Implementation of Internet Public Opinion Monitoring and Analyzing System
2010 2nd International Conference on E-business and Information System Security, 2010Co-Authors: Xiaojun LiAbstract:With the development of Internet and the increasing number of netizens, it is necessary to monitor and analyze internet Public Opinion for the government. Therfore, Internet Public Opinion monitoring and analyzing have become a hot issue in recent years. According to the features of Internet Public Opinion information, this paper presents a complete framework of the Internet Public Opinion monitoring and analyzing system. Finally, this paper describes the implementation of key technology used in this system. The system presented in this paper can help goverment to correctly monitor the sensitive Public Opinion and guide them.
Zhou Xueguang - One of the best experts on this subject based on the ideXlab platform.
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Research on Analysis and Monitoring of Internet Public Opinion
Advances in Intelligent Systems and Computing, 2020Co-Authors: Li Juan, Zhou XueguangAbstract:The purpose of the research is to collect and analyze the internet Public Opinion, understand the Public voice and feed back in time. Basing on the understanding of Public Opinion and its related concepts, the paper explained the developing process of Public Opinion and internet Public Opinion in their life cycle. Next we the monitoring model of internet Public Opinion has been built according with the change rule of Public Opinion. The original information is webpage in internet. Hot topic would be obtained with passive monitoring and active tracking. Furthermore, the situation of internet Opinion is discovered. Leading and blocking, these two ways can be used to guide the internet Public Opinion positively. The research of this paper would be beneficial to quickly grasp and understand internet Public Opinion and make effective control and guide. It has important practical significance to construct the socialist harmonious society.
Chuan Lu - One of the best experts on this subject based on the ideXlab platform.
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Research on Key Technologies of Internet Public Opinion Monitoring and Analysis System
2018 IEEE 4th Information Technology and Mechatronics Engineering Conference (ITOEC), 2018Co-Authors: Xiejie Hu, Chuan LuAbstract:In view of the frequent occurrence of Internet Public Opinion on the Internet, this paper analyzes the Internet Public Opinion monitoring and analysis system requirements and business processes. It introduces five-layer architecture of Public Opinion monitoring and analysis system, which consist of information automatic collection, information preprocessing, Public Opinion database, Public Opinion analysis and service, as well as Public Opinion visualization and report. Then, we study the implementation of key technologies in the system, including Public Opinion information collection technology, information search and clustering analysis, speech analysis and trend prediction analysis. Compared with the original system, the extraction accuracy of the theme and the accuracy of predicting the trend of Public Opinion for this redesigned system are significantly improved, which further verify the correctness of the proposed scheme.
