面向足球行业的网络舆情分析系统的设计与实现

发布时间：2018-01-27 02:22

本文关键词： 网络舆情网络爬虫文本聚类微博用户画像　出处：《北京交通大学》2017年硕士论文　论文类型：学位论文

【摘要】：互联网的高速发展带来了新媒体的蓬勃生机,网络舆情成为了一种不可忽视的舆论力量,网络舆情分析继而也逐渐成为了线上运营所关注的焦点。如何从网络海量的数据中提取到对营销有用的信息成为了运营人员所面临的难题之一。本文的实际应用场景是为中超各个足球俱乐部提供网络舆情的分析,通过对网易体育、新浪微博等网站数据的抓取、处理和分析,为俱乐部线上运营人员提供信息的全面展示,从而帮助运营人员更加有针对性、灵活地开展线上运营活动。根据足球行业的特点和情况,选取多维度网络数据进行全面分析,从而达到优化足球竞争中的各个部分,使足球俱乐部不仅能掌握自有数据,更能把握竞争对手信息,能深入了解球迷及粉丝的最新动态,挖掘出他们的声音和态度。借助文本聚类方法,为单个用户提供个人用户画像,将粉丝标签化。首先,本文介绍了本系统开发的背景和意义,并介绍了本系统在开发过程中需要使用到的技术,包括使用微博API和网络爬虫获取数据,使用ICTCLAS对文本进行分词,使用文本聚类方法进行文本分析。还介绍了本系统所使用的开发工具。其次,根据网络舆情分析系统的实际业务需求和功能性需求等,确定了系统的整体架构,包括系统的软件架构和技术架构。对系统进行了功能模块的划分。最后,本文详细阐述了该网络舆情分析系统的设计与实现过程和测试过程,针对每个功能模块都按照数据的获取、处理分析与展示的流程进行了详细描述。该部分是本文的关键内容。本文总结包括以下几点:首先,本文是面向足球行业进行信息的收集与处理分析,具有针对性和实际意义;其次,能够实现多维度、全方位的数据处理分析的过程;最后,利用动态展示工具方便地将数据进行可视化展示。
[Abstract]:The rapid development of the Internet has brought the vitality of new media, network public opinion has become a force that can not be ignored. The analysis of network public opinion has gradually become the focus of online operation. How to extract useful information for marketing from the massive network data has become one of the difficult problems faced by operators. The practical application of this paper. The scene is to provide the analysis of network public opinion for each football club. Through the NetEase Sports, Sina Weibo and other website data capture, processing and analysis, for the club online operators to provide a comprehensive display of information, so as to help operators more targeted. According to the characteristics and circumstances of the football industry, select multi-dimensional network data for comprehensive analysis, so as to optimize the football competition in each part. Football club can not only master their own data, but also can grasp the information of competitors, can deeply understand the latest trends of fans and fans, dig out their voices and attitudes, with the help of text clustering method. First of all, this paper introduces the background and significance of the development of the system, and introduces the technology that needs to be used in the development process of the system. Including the use of Weibo API and web crawlers to obtain data, using ICTCLAS to segment text, text clustering method for text analysis. Also introduced the development tools used in this system. Secondly. According to the actual business requirements and functional requirements of the network public opinion analysis system, the overall architecture of the system is determined, including the system software architecture and technical architecture. The system is divided into functional modules. Finally. This paper describes the network public opinion analysis system design and implementation process and testing process, according to each functional module according to the data acquisition. The process of processing analysis and display is described in detail. This part is the key content of this paper. The summary of this paper includes the following points: first, this paper is oriented to the football industry information collection and processing analysis. Have pertinence and practical significance; Secondly, the process of multi-dimensional and all-directional data processing and analysis can be realized. Finally, the dynamic display tool is used to visualize the data conveniently.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP311.52;TP391.1

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