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Article Dans Une Revue Journal of Data Mining and Digital Humanities Année : 2023

HistText: An Application for leveraging large-scale historical textbases

Résumé

This paper introduces HistText, a pioneering tool devised to facilitate large-scale data mining in historical documents, specifically targeting Chinese sources.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.
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Dates et versions

halshs-04178820 , version 1 (08-08-2023)
halshs-04178820 , version 2 (28-10-2023)
halshs-04178820 , version 3 (30-10-2023)
halshs-04178820 , version 4 (09-11-2023)

Identifiants

Citer

Blouin Baptiste, Cécile Armand, Christian Henriot. HistText: An Application for leveraging large-scale historical textbases. Journal of Data Mining and Digital Humanities, 2023, pp.1-30. ⟨10.46298/jdmdh.11756⟩. ⟨halshs-04178820v4⟩
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