ALCIDE: Extracting and visualising content from large document collections to support humanities studies

Rachele Sprugnoli, Giovanni Moretti, Stefano Menini, Sara Tonelli

Risultato della ricerca: Contributo in rivistaArticolo in rivistapeer review

16 Citazioni (Scopus)

Abstract

The application of research practices and methodologies from the Information and Communication Technologies to Humanities studies is having a great impact on the way humanities research is being conducted. However, although many applications have been developed to automatically analyse document collections from the historical or the literary domain, they often fail to provide a real support to scholars because of their inherent complexity: technical skills are often required to use them and to inspect their output. On the other hand, some systems are more user-friendly, but present basic analyses and are limited to the needs of a specific research community. In order to overcome the aforementioned limitations, we developed ALCIDE (Analysis of Language and Content In a Digital Environment), a web-based platform designed to assist humanities scholars in navigating and analysing large quantities of textual data such as historical sources and literary works. This suite of tools combines advanced text processing techniques with intuitive visualisations of the output to serve a broad range of research questions, which no other comparable tool can address in a single platform. Textual corpora can be inspected and compared along five semantic dimensions: who, where, when, what and how. Such dimensions in different combinations allow targeting many key questions of different humanities disciplines, as shown in the five use cases presented.
Lingua originaleEnglish
pagine (da-a)100-112
Numero di pagine13
RivistaKnowledge-Based Systems
Volume111
DOI
Stato di pubblicazionePubblicato - 2016

Keywords

  • Artificial Intelligence
  • Corpus analysis
  • Digital humanities
  • Information Systems and Management
  • Management Information Systems
  • Natural language processing
  • Software
  • Visualisation
  • Web-based platform

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