卡片索引记录的数字化和数据框架

IF 2.6 1区历史学 Q1 ECONOMICS

Explorations in Economic History Pub Date : 2023-01-01 DOI:10.1016/j.eeh.2022.101469

Someswar Amujala , Angela Vossmeyer , Sanjiv R. Das

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引用次数: 0

摘要

我们开发了一种方法，将卡片索引档案记录转换为可用的数据框架，用于统计和文本分析。利用亚马逊网络服务(AWS)的机器学习和自然语言处理工具，我们克服了与字符识别、不一致的数据报告、列不对齐和不规则命名相关的障碍。在本文中，我们将详细介绍逐步转换过程，并使用来自Reconstruction Finance Corporation的历史记录，讨论常见问题和边缘情况的补救措施。

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Digitization and data frames for card index records

We develop a methodology for converting card index archival records into usable data frames for statistical and textual analyses. Leveraging machine learning and natural-language processing tools from Amazon Web Services (AWS), we overcome hurdles associated with character recognition, inconsistent data reporting, column misalignment, and irregular naming. In this article, we detail the step-by-step conversion process and discuss remedies for common problems and edge cases, using historical records from the Reconstruction Finance Corporation.

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来源期刊

Explorations in Economic History Multiple-

CiteScore

2.50

自引率

8.70%

发文量

期刊介绍： Explorations in Economic History provides broad coverage of the application of economic analysis to historical episodes. The journal has a tradition of innovative applications of theory and quantitative techniques, and it explores all aspects of economic change, all historical periods, all geographical locations, and all political and social systems. The journal includes papers by economists, economic historians, demographers, geographers, and sociologists. Explorations in Economic History is the only journal where you will find "Essays in Exploration." This unique department alerts economic historians to the potential in a new area of research, surveying the recent literature and then identifying the most promising issues to pursue.