科创学院舆情信息管理系统的设计与实现

发布时间：2018-03-03 01:30

本文选题：互联网　切入点：舆论舆情　出处：《电子科技大学》2014年硕士论文　论文类型：学位论文

【摘要】：在现代社会,网络有了飞速的发展,舆情是网络飞速发展附带产物。它能够将人们关注的主题、自己的立场和当前社会、政治、经济紧密的联系起来。所以,对舆情信息的收集、辨识、处理是正确引导网络向良好方向发展的重要方法,使得网络健康发展成为现实。本文当中研究的主要方向是对网络舆情分析进行深入研究,文中主要通过设计管理系统、分析网络舆情等方面来对舆情信息处理,因而实现相关舆情得到相应的解决。1、介绍了检测网络舆情的方法、基本思路、和检测处理流程。2、在本文中提到的话题识别技术,此技术也是本文中不缺少的部分,相应的我们会在本文第三章做相关研究和介绍,如果想要得到较准确的舆情分析结果,那么首先要考虑到彼此的相似性,与此同时,还要将相关文档、相关资料应该商讨的话题中的主题和中心意思确定下来。对于专有名词以及他们的组合需要在加权平均算法中提高其权重,在程序代码中提高其辨识度,这样在舆情分析中就能很快识别专有词汇及时的分析出资料中的重点。3、到现在为止,很多学者已经提出话题检测、跟随检测的算法,而在如何评估网络舆情从而构建其指标体系、估值计算等方面的研究才拉开序幕。目前,国内分析网络舆情的软件系统不断出现,大部分拥有的功能有:主要体现在两大方面,其一就是要有完整的舆情评估技术,要完成此技术的必备条件就是有信息检索功能、文本归类功能、对相关或相似的文本文档搜集功能,只有这样才能实现舆情的跟踪调查,分析是不能提供多环节的。其二就是相应的预警模型,其中就包括网络舆情指标的体系构建和估值计算等方面的研究。4、论文形成了网络舆情指标体系系统总体框架,通过编程语言对管理系统及相应的管理功能模块进行设计,并通过学校实际运用该系统进行修正,最终实现对舆情信息的收集、分析、处理。
[Abstract]:In the modern society, the network has the rapid development, the public opinion is the network rapid development spin-off product. It can pay close attention to people's theme, own position and the current society, the politics, the economic close connection. Therefore, The collection, identification and processing of public opinion information is an important method to correctly guide the development of the network towards a good direction, which makes the healthy development of the network become a reality. In this paper, the main research direction is to conduct in-depth research on the analysis of network public opinion. This article mainly through the design management system, the analysis network public opinion and so on aspect to the public opinion information processing, therefore realizes the correlation public opinion to obtain the corresponding solution. 1, introduced the detection network public opinion method, the basic idea, And detection processing flow. 2, the topic recognition technology mentioned in this paper, this technology is also an indispensable part of this paper. Accordingly, we will do relevant research and introduction in the third chapter of this paper, if we want to get more accurate results of public opinion analysis, Well, first we have to consider the similarities, and at the same time, we also have to document the relevant documents, For proper nouns and their combinations, they need to increase their weight in the weighted average algorithm and improve their identification in the program code. In this way, in the analysis of public opinion, we can quickly identify the proprietary words and analyze the key points in the data in a timely manner. Up to now, many scholars have proposed an algorithm for topic detection and follow detection. However, the research on how to evaluate network public opinion so as to construct its index system and estimate calculation begins. At present, the software system for analyzing network public opinion in China is constantly emerging, most of which have the following functions: mainly reflected in two major aspects. One is to have a complete public opinion evaluation technology. The necessary conditions for completing this technology are information retrieval, text categorization, and collection of relevant or similar text documents. Only in this way can public opinion be tracked and investigated. The second is the corresponding early warning model, which includes the system construction of network public opinion index and the evaluation calculation, etc. The paper forms the overall framework of network public opinion index system system. The management system and the corresponding management function module are designed by programming language, and the system is modified through the actual use of the system in the school. Finally, the collection, analysis and processing of the public opinion information are realized.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP311.52;TP391.1

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