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

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• 作者：Giovanni Moretti^a ; ^{moretti@fbk.eu" class="auth_mail" title="E-mail the corresponding author} ; Rachele Sprugnoli^a ; ^b ; ^{sprugnoli@fbk.eu" class="auth_mail" title="E-mail the corresponding author} ; Stefano Menini^a ; ^b ; ^{menini@fbk.eu" class="auth_mail" title="E-mail the corresponding author} ; Sara Tonelli ; ^a ; ^{satonelli@fbk.eu" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Web-based platform ; Corpus analysis ; Digital humanities ; Visualisation ; Natural language processing
• 刊名：Knowledge-Based Systems
• 出版年：2016
• 出版时间：1 November 2016
• 年：2016
• 卷：111
• 期：Complete
• 页码：100-112
• 全文大小：2393 K

文摘

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.