Description du projet
Une application pour l’exploration de données dans les documents historiques
Si la numérisation a rendu les textes historiques accessibles, les universitaires et les étudiants rencontrent encore des difficultés lorsqu’ils travaillent avec des institutions qui abritent de vastes collections numériques. Le projet HistText, financé par le CER, vise à développer une application innovante pour l’exploration de données à grande échelle dans des corpus textuels historiques. Cette collaboration entre historiens et informaticiens se concentrera sur l’utilisation de techniques d’apprentissage automatique pour analyser de vastes archives textuelles. L’application sera conçue pour traiter des bases de données contenant des milliards de mots dans des millions de documents multilingues. Elle sera dotée d’une interface conviviale, de méthodes d’analyse de texte avancées et de solides capacités de visualisation des données. En mettant l’accent sur l’analyse avancée des textes et l’accessibilité pour l’utilisateur, HistText entend révolutionner l’analyse textuelle à grande échelle et offrir une nouvelle approche de la compréhension des documents historiques.
Objectif
HistText is a groundbreaking application developed to address the complex challenges of large-scale data mining in textual corpora, with a particular focus on historical documents. Created in the context of the ERC-funded ENP-China project, which aims to study the evolution of Chinese elites from the 19th century to 1949, HistText is the result of a synergistic collaboration between historians and computer scientists exploring machine learning applications for extensive text archives. Designed to manage databases containing billions of words across millions of multilingual documents, HistText offers a robust and versatile platform that streamlines the process of extracting and visualizing valuable insights. The application features a user-friendly interface, advanced text analysis techniques, and powerful data visualization capabilities. It provides a simplified approach for novice users to conduct complex data queries and analyses, while also offering a comprehensive R-library for more expert users. The main challenge that the proof of concept aims to tackle is to make HistText a fully packageable and transferable tool that can cater to the specialized needs of scholars and institutions holding vast digital repositories. With its focus on advanced text analysis and user accessibility, HistText stands as an invaluable resource not only for academics in the digital humanities but also for students and the general public. In terms of broader applications, HistText has the potential to be integrated into a wide range of institutions (libraries, digital content providers, etc.). The platform is exceptionally well-suited for analyzing a wide range of text genres, including newspapers, periodicals, directories, and diaries, among others. By offering a scalable, user-friendly, and methodologically rigorous tool, HistText aims to revolutionize how we approach large-scale textual analysis, providing a new pathway for understanding historical documents.
Programme(s)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Régime de financement
HORIZON-ERC-POC - HORIZON ERC Proof of Concept GrantsInstitution d’accueil
13284 Marseille
France