Automatically Analyzing Large Texts in a GIS Environment: The Registrar General's Reports and Cholera in the 19th Century
Automatically Analyzing Large Texts in a GIS Environment: The Registrar General's Reports and Cholera in the 19th Century
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在 GIS 环境中自动分析大文本：总登记官的报告和 19 世纪的霍乱
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Paul Rayson
中科院分区：
文献类型：
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作者：
Patricia Murrieta;Alistair Baron;I. Gregory;A. Hardie;Paul Rayson
本文的目的是展示地理信息系统如何与自然语言处理和语料库语言学方法相结合，为分析人文学科，特别是历史研究中的大量文本集合提供创新的研究场所。作为例子，我们使用注册总署署长收集的报告的一部分，这些报告包含20多万页的描述、人口普查数据和联合王国的重要统计数据，我们介绍了新开发的自动化文本工具和众所周知的空间分析，结合使用来调查这些历史资料中提到霍乱和其他疾病的案例研究，以及它们与维多利亚时代地名的关系。这些技术的结合使我们能够以自动的方式探索这一包含数百万个单词的历史来源，检查其中所描述的地理，并确定语料库中的文本和地理模式。
The aim of this article is to present new research showcasing how Geographic Information Systems in combination with Natural Language Processing and Corpus Linguistics methods can offer innovative venues of research to analyze large textual collections in the Humanities, particularly in historical research. Using as examples parts of the collection of the Registrar General's Reports that contain more than 200,000 pages of descriptions, census data and vital statistics for the UK, we introduce newly developed automated textual tools and well known spatial analyses used in combination to investigate a case study of the references made to cholera and other diseases in these historical sources, and their relationship to place‐names during Victorian times. The integration of such techniques has allowed us to explore, in an automatic way, this historical source containing millions of words, to examine the geographies depicted in it, and to identify textual and geographic patterns in the corpus.
规模对疾病聚类测试的影响。
影响因子：
2
作者：
Waller,LA;Turnbull,BW
通讯作者：
Turnbull,BW