HistText: An Application for leveraging large-scale historical textbases

This paper introduces HistText, a pioneering tool devised to facilitate large-scale data mining in historical documents, specifically targeting Chinese sources. Developed in response to the challenges posed by the massive Modern China Textual Database, HistText emerges as a solution to efficiently e...

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Vydané v:Journal of data mining and digital humanities Ročník 2023; číslo Project presentations; s. 1 - 30
Hlavní autori: Baptiste, Blouin, Armand, Cécile, Henriot, Christian
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: INRIA 10.11.2023
Nicolas Turenne
Predmet:
[info]computer science [cs]
[shs]humanities and social sciences
chinese
Computer Science
data mining
document
history
Humanities and Social Sciences
natural language processing
text analysis
Chinese
Text analysis
history
natural language processing
data mining
document
ISSN:2416-5999, 2416-5999
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Abstract This paper introduces HistText, a pioneering tool devised to facilitate large-scale data mining in historical documents, specifically targeting Chinese sources. Developed in response to the challenges posed by the massive Modern China Textual Database, HistText emerges as a solution to efficiently extract and visualize valuable insights from billions of words spread across millions of documents. With a user-friendly interface, advanced text analysis techniques, and powerful data visualization capabilities, HistText offers a robust platform for digital humanities research. This paper explores the rationale behind HistText, underscores its key features, and provides a comprehensive guide for its effective utilization, thus highlighting its potential to substantially enhance the realm of computational humanities.
AbstractList This paper introduces HistText, a pioneering tool devised to facilitate large-scale data mining in historical documents, specifically targeting Chinese sources. Developed in response to the challenges posed by the massive Modern China Textual Database, HistText emerges as a solution to efficiently extract and visualize valuable insights from billions of words spread across millions of documents. With a user-friendly interface, advanced text analysis techniques, and powerful data visualization capabilities, HistText offers a robust platform for digital humanities research. This paper explores the rationale behind HistText, underscores its key features, and provides a comprehensive guide for its effective utilization, thus highlighting its potential to substantially enhance the realm of computational humanities.
Author Baptiste, Blouin
Armand, Cécile
Henriot, Christian
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  surname: Henriot
  fullname: Henriot, Christian
  organization: Institut de recherches Asiatiques
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Keywords Chinese
Text analysis
history
natural language processing
data mining
document
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SubjectTerms [info]computer science [cs]
[shs]humanities and social sciences
chinese
Computer Science
data mining
document
history
Humanities and Social Sciences
natural language processing
text analysis
Title HistText: An Application for leveraging large-scale historical textbases
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