从报纸理解企业互动分析:一种网络方法

Yongyeon Kim, Ji-Hyeon Lee, Kyung-Hee Lee, W. Cho
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引用次数: 0

摘要

互联网的出现把我们生活的大部分从离线变成了在线。SNS和博客的出现也成为网站数据爆炸式增长的因素。文本分析占据了文本、照片和视频的大部分,通过文本分析来搜索有用的信息是非常重要的。因此,本研究运用图论中的一种社会网络分析方法,从报纸文章中提取公司名称。在处理数据的基础上,我们形成了文章中的公司网络,并通过SNA方法进行分析。通过测试,我们确认了通过新闻进行网络化的可能性,通过对各个类别的分析,我们可以确认体育部门可以在网络化中发挥重要作用。同时也证实了通过聚类形成对每组进行分析的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding enterprise interaction analysis from newspapers: A network approach
The appearance of internet brought most part of our life from off-line into on-line. Also the appearance of SNS and blog became the factor to explosively increase data in website. It is very important to search the useful information through text analysis which takes up most of texts, photos and video. Accordingly this study applied the social network analysis method which is one of the Graph theory by extracting the company name from newspaper article. Based on the processed data, we formed the network of company in articles and analyzed through SNA method. As a result of test, we confirm the possibility of networking through news, we can confirm that sports sector can play the important role to form network by analyzing per category. Also we confirmed the possibility which can perform the analysis per group through clustering forming.
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