Introduction to Digital Humanities Course 3 Anca Dinu
Introduction to Digital Humanities course 3 Anca Dinu DH master program, University of Bucharest, 2019 Primary source for the slides: THE DIGITAL HUMANITIES A Primer for Students and Scholars by Eileen Gardiner and Ronald G. Musto, Cambridge University Press, 2015 DH Tools • Tools classification by: • the object they process (text, image, sound, etc.) • the task they are supposed to perform, output or result. • Projects usually require multiple tools either in parallel or in succession. • To learn how to use them - free tutorials on product websites, on YouTube and other. DH Tools Tools classification by the object they process • Text-based tools: • Text Analysis: • The simplest and most familiar example of text analysis is the document comparison feature in Microsoft Word (taking two different versions of the same document and highlight the differences); • Dedicated text analysis tools create concordances, keyword density/prominence, visualizing patterns, etc. (for instance AntConc) DH Tools • Text Annotation: • On a basic level, digital text annotation is simply adding notes or glosses to a document, for instance, putting comments on a PDF file for personal use. • For complex projects, there are interfaces specifically designed for annotations. • Example: FoLiA-Linguistic-Annotation-Tool https://pypi.org/project/FoLiA-Linguistic-Annotation-Tool/ DH Tools • Text Conversion and Encoding tools: • Every text in digital format is encoded with tags, whether this is apparent to the user or not. • Everything from font size, bold, italics and underline, line and paragraph spacing, justification and superscripts, to meta-data as title and author are the result of such coding tags. • Common encoding standards: XML, HTML, TEI, RTF, etc.
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