Maud Ehrmann – författare
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3 produkter
3 produkter
448 kr
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1 832 kr
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One of the challenges brought on by the digital revolution of the recent decades is the mechanism by which information carried by texts can be extracted in order to access its contents.The processing of named entities remains a very active area of research, which plays a central role in natural language processing technologies and their applications. Named entity recognition, a tool used in information extraction tasks, focuses on recognizing small pieces of information in order to extract information on a larger scale.The authors use written text and examples in French and English to present the necessary elements for the readers to familiarize themselves with the main concepts related to named entities and to discover the problems associated with them, as well as the methods available in practice for solving these issues.
Digitised Newspapers – A New Eldorado for Historians?
Reflections on Tools, Methods and Epistemology
Inbunden, Engelska, 2022
727 kr
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The application of digital technologies to historical newspapers has changed the research landscape historians were used to. An Eldorado? Despite undeniable advantages, the new digital affordance of historical newspapers also transforms research practices and confronts historians with new challenges. Drawing on a growing community of practices, the impresso project invited scholars experienced with digitised newspaper collections with the aim of encouraging a discussion on heuristics, source criticism and interpretation of digitized newspapers. This volume provides a snapshot of current research on the subject and offers three perspectives: how digitisation is transforming access to and exploration of historical newspaper collections; how automatic content processing allows for the creation of new layers of information; and, finally, what analyses this enhanced material opens up. ‘impresso - Media Monitoring of the Past’ is an interdisciplinary research project that applies text mining tools to digitised historical newspapers and integrates the resulting data into historical research workflows by means of a newly developed user interface. The question of how best to adapt text mining tools and their use by humanities researchers is at the heart of the impresso enterprise.