Auteurs : Blouin Baptiste ^1,2,3; Cécile Armand ⁴; Christian Henriot ⁴

• 1 Laboratoire d'Informatique et Systèmes [LIS]
• 2 Laboratoire d'Informatique et des Systèmes
• 3 Laboratoire d'Informatique et des Systèmes (LIS) (Marseille, Toulon)
• 4 Institut de recherches Asiatiques

This paper introduces HistText, a pioneering tool devised to facilitate large-scale data mining in historical documents, specifically targeting Chinese sources.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