Tanya Clement
ABSTRACT
Increased access to large-scale repositories of text begs questions about how scholars can use such repositories in their research. It is essential that iSchools are aware of tools being created in the Digital Humanities since the processes and tools that are being developed by this transdisciplinary community are changing the preservation and curation of humanities data. This paper will discuss a use-case study that uses theories of knowledge representation and research on phonetic symbolism to develop analytics and visualizations that help users examine aural patterns in text. This work includes (1) identifying OpenMary as a base analytic; (2) creating a routine in MEANDRE (a semantic-web-driven data-intensive flow execution environment) that produces a tabular representation of the data for predictive modeling; and (4) developing an interface (ProseVis) for seeing these comparisons across text collections.
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Index Terms
- Methodologies in the digital humanities for analyzing aural patterns in texts
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