Digitization and data frames for card index records

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
{"title":"Digitization and data frames for card index records","authors":"Someswar Amujala ,&nbsp;Angela Vossmeyer ,&nbsp;Sanjiv R. Das","doi":"10.1016/j.eeh.2022.101469","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":47413,"journal":{"name":"Explorations in Economic History","volume":"87 ","pages":"Article 101469"},"PeriodicalIF":2.6000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Explorations in Economic History","FirstCategoryId":"98","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S001449832200047X","RegionNum":1,"RegionCategory":"历史学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

Abstract

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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
卡片索引记录的数字化和数据框架
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
2.50
自引率
8.70%
发文量
27
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.
期刊最新文献
Monumental effects: Confederate monuments in the Post-Reconstruction South Wealth and history: A reappraisal Family first: Defining, constructing, and applying historical patent families Reservoirs of power: The political legacy of dam construction in Franco’s Spain (In-kind) Wages and labour relations in the Middle Ages: It’s not (all) about the money
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1