Smart Data for Digital Humanities
نویسندگان
چکیده
منابع مشابه
Towards Linked Language Data for Digital Humanities
We investigate the extension of classification schemes in the Humanities into semantic data repositories, the benefits of which could be the automation of so far manually conducted processes, such as detecting motifs in folktale texts. In parallel, we propose linguistic analysis of the textual labels used in these repositories. The resulting resource, which we propose to publish in the Linked O...
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How can dense representations be created out of large amount of data (Tufte 2001)? How can users navigate within abstract representations? How can multi-scale navigation be realized? How can users use data visualization to detect new patterns? Linguistic How can large quantities of text be visualized and sorted (Rockwell et al. 2010)? How can users navigate within different text layers? How can...
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The study of intertextuality, the shaping of a text’s meaning by other texts, remains a laborious process for the literary critic. Kristeva (Kristeva, 1986) suggests that "Any text is constructed as a mosaic of quotations; any text is the absorption and transformation of another.& The nature of these mosaics is widely varied, from direct quotations representing a simple and overt intertextualit...
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In this short paper we report on experiences gained from bachelor and master theses, and from a series of software projects conducted in cooperation with the Department of Computational Linguistics of the Saarland University. Those bachelor/master theses and software projects were dealing with the application of Natural Language Processing and Semantic Web technologies to the representation and...
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Lingmotif is a lexicon-based, linguistically-motivated, user-friendly, GUI-enabled, multi-platform, Sentiment Analysis desktop application. Lingmotif can perform SA on any type of input texts, regardless of their length and topic. The analysis is based on the identification of sentiment-laden words and phrases contained in the application’s rich core lexicons, and employs context rules to accou...
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ژورنال
عنوان ژورنال: Journal of Data and Information Science
سال: 2017
ISSN: 2543-683X
DOI: 10.1515/jdis-2017-0001