微博环境下基于BP神经网络的肉制品企业网络舆情危机预警研究

发布时间：2018-06-21 15:49

本文选题：肉制品网络舆情 + 危机预警体系　；参考：《华中师范大学》2014年硕士论文

【摘要】：当前社会是一个数字化、信息化高度发达的社会,人们通过网络进行信息传递变得越来越普遍。中国一共13亿多人,其中,截止到2013年3月底,全国注册微博账户有5.36亿个。庞大的用户群体、便利的信息沟通方式、快速的信息传播速度、广泛的信息影响力。微博在给人们信息传播带来方便快捷的同时,也给企业负面信息的传播带来机会。肉制品是跟老百姓息息相关的农产品,任何有关肉制品的食品安全问题的信息经过微博的传播就会对企业带来绝大的社会舆论影响。为了帮助肉制品企业在面对网络舆情过程中度过难关,重树公众良好形象,有必要专门就肉制品企业做出肉制品企业的网络舆情危机预警的体系,帮助相关企业发现舆情热点,做出预警和采取措施。本文的研究思路主要可以分为五大步：第一步,介绍相关概念,界定微博传播、网络舆情危机、微博传播与网络舆情危机的关系,以及网络预警预警的理论。第二步分析微博传播下肉制品企业网络舆情危机的概念内涵、肉制品消费中存在的问题、以及肉制品企业网络舆情危机的原因。第三步,构建构建肉制品企业在微博传播环境的预警指标体系,把BP神经网络模型与指标体系相结合,构建数量模型,进行微博环境下危机预警。第四步,用真实存在的XX肉制品企业应对瘦肉精事件的过程进行实证分析。第五步,提出微博传播环境下,肉制品企业如何应对网络的危机预警和处理,以及反思本模型的不足之处。本文的创新点有两个： 1.在前人研究基础上,利用定量统计和定性分析相结合的方法,构建了基于微博环境下肉制品生产企业网络舆情危机的预警的指标体系,对网络舆情危机预警指标体系探索进行了有意义的尝试。 2.利用BP神经网络在肉制品生产企业网络舆情危机预警指标体系的基础上,构建网络舆情危机预警模型,将人工网络模型运用到肉制品公司的网络舆情领域,在应用范围上有所创新,扩大了人工神经网络的利用范围,进一步探索了农业信息化在舆情监控方面的研究思路。肉制品企业舆情预警是舆情监测的“温度计”“晴雨表”,对保障企业健康稳定发展具有重要意义。本文就肉制品企业的危机预警做出了一定的指标体系研究、以及预警方法做出了有意思的探索,有一定的参考意义。
[Abstract]:Nowadays, the society is a highly developed society with digitization and information. It is becoming more and more common for people to transmit information through the network. China has more than 1.3 billion people, of whom 536 million registered Weibo accounts by the end of March 2013. Huge user group, convenient information communication mode, fast information dissemination speed, wide information influence. Weibo not only brings convenience and rapidity to people's information dissemination, but also brings opportunities for enterprises to spread negative information. Meat products are agricultural products which are closely related to the common people. Any information about the food safety of meat products will be spread through the Weibo will bring most of the public opinion to the enterprises. In order to help meat enterprises tide over difficulties in the process of network public opinion and rebuild a good public image, it is necessary for meat enterprises to make a warning system of network public opinion crisis for meat enterprises, to help related enterprises to find hot spots of public opinion. Make early warning and take measures. The research ideas of this paper can be divided into five major steps: the first step is to introduce the related concepts, define the Weibo communication, network public opinion crisis, the relationship between Weibo communication and network public opinion crisis, as well as the theory of network early warning. The second step is to analyze the concept connotation of the network public opinion crisis of meat products enterprises under the spread of Weibo, the problems existing in meat products consumption, and the reasons for the network public opinion crisis of meat products enterprises. The third step is to construct the early warning index system of meat products enterprise in Weibo environment, combine BP neural network model with index system, construct quantity model, and carry on crisis early warning under Weibo environment. The fourth step is to analyze the process of lean meatloin event with the real XX meat products enterprise. The fifth step, put forward how to deal with the network crisis early warning and management under the environment of Weibo communication, and reflect on the shortcomings of this model. There are two innovations in this paper: 1. On the basis of previous studies, the index system of network public opinion crisis in meat production enterprises based on Weibo is established by combining quantitative statistics and qualitative analysis. A meaningful attempt has been made to explore the early warning index system of network public opinion crisis. 2. On the basis of network public opinion crisis warning index system of meat production enterprise, BP neural network is used to construct network public opinion crisis early warning model, and artificial network model is applied to network public opinion field of meat company. The application scope is innovated, the application range of artificial neural network is expanded, and the research thinking of agricultural informatization in monitoring public opinion is further explored. The early warning of public opinion in meat enterprises is the thermometer and barometer of public opinion monitoring, which is of great significance to ensure the healthy and stable development of enterprises. This paper has made a certain index system research on the crisis early warning of meat products enterprise, and has made the interesting exploration as well as the early warning method, which has certain reference significance.
【学位授予单位】：华中师范大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP183;F426.82;F272.3

【参考文献】