The aim of this course is to understand in general terms the paradigm shift from Humanities to eHumanities or Digital Humanities (HD). Moreover, the student will try to create an interdisciplinary group with the aim to perform a HD project’s task using Natural Language Processing (PLN) tools or language technologies: helping and improving research results or re-assessing research. In order to do this, some use cases will be shown and the student’s work will follow the FAIR principles when he has to work with large amounts of data, visualization tools, methodologies and infrastructures, which can help to change the paradigm, de-creasing the digital divide as much as possible.
Syllabus
Introduction to Digital Humanities and NLP
DH infrastructures: tools, resources and services
Data visualization techniques in DH.
Storage of metadata, linked data and digital content management
