Making use of quantitative content analysis: Insights from academia and business practice

被引:6
作者
Brunzel, Johannes [1 ]
机构
[1] Tech Univ Carolo Wilhelmina Braunschweig, Abt Jerusalem Str 4, D-38106 Braunschweig, Germany
关键词
Big data; Computer-aided content analysis; Machine learning; Quantitative content analysis; Natural language processing; AIDED TEXT ANALYSIS;
D O I
10.1016/j.bushor.2021.02.010
中图分类号
F [经济];
学科分类号
02 ;
摘要
This article features a moderated conversation between the author and five leading researchers and practitioners in the field of quantitative content analysis and, more specifically, computer-aided textual analysis (CATA). The interview subjects discuss the factors contributing to CATA's rise as a research method as well as the benefits and pitfalls of using CATA. The conversation also covers bestpractice advice that companies may employ to increase the accuracy of CATA results. These include using different programs or algorithms for the same problem, known as algorithm error. (c) 2021 Kelley School of Business, Indiana University. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:453 / 464
页数:12
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