Computer assisted quantitative analysis of newspaper articles

被引:0
|
作者
Higuchi, K [1 ]
机构
[1] Osaka Univ, Fac Human Sci, Suita, Osaka 5650871, Japan
关键词
content analysis; text mining; newspaper articles; The Mainichi Shimbun; Japanese salaried men;
D O I
暂无
中图分类号
O1 [数学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 0701 ; 070101 ;
摘要
Since the first application of content analysis in the field of social research, newspaper articles have been an important subject of said quantitative analysis and a variety of studies have been conducted. Today, it is easier to use computers to analyze newspaper articles because their processing power has grown rapidly, and there are a lot of newspaper databases available. In addition, computer-assisted methods to analyze textual data such as newspaper articles and the like are proposed frequently. Therefore, the author has attempted to confirm and consider the two questions outlined below, by performing an experimental analysis of newspaper articles which mentioned "salaried men" in The Mainichi Shimbun and were published between 1991 and 2002. First, are there any significant differences between the results derived from a computer-assisted analysis and those derived from a classical analysis that does not make use of an automated process? Second, are the methods which are proposed to analyze general "textual data" really suitable for the analysis of newspaper articles? In other words, what are the specific advantages and disadvantages of using computers in analyzing newspaper articles as compared with other kinds of textual data?
引用
收藏
页码:161 / 176
页数:16
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