Doing Digital Humanities

Crompton, Constance; Lane, Richard; Siemens, Ray

doi:10.4324/9781315707860

Cited by 18 publications

(3 citation statements)

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“…Despite the initial inertia towards its adoption (Jessop, 2008: Bodenhamer, 2010, utilization of GIS among Digital Humanities scholars is rapidly emerging (Geddes and Gregory, 2014;Crompton, Lane and Siemens, 2016;Dunn, 2019;McHaffie et al, 2019;Schuster and Dunn, 2020). While GIS helps collect, store, curate, and visualize vector or raster-based patterns and relationships, on interactive and even 3D user-facing platforms, what probably makes it even more unique is its analytical power (Barker et al, 2016;Murrieta-Flores et al, 2017), briefly demonstrated in this research note by performing a computation-intensive EHSA.…”

Section: What Lies Ahead For the Digital Periegesis Project?mentioning

confidence: 99%

Visualizing Pausanias’s Description of Greece with contemporary GIS

Foka

Demiroglu

Barker

et al. 2021

Digital Scholarship in the Humanities

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This progress article focuses on an overview of the potential and challenges of using contemporary Geographic Information System (GIS) applications for the visual rendering and analysis of textual spatial data. The case study is an ancient traveling narrative, Pausanias’s Description of Greece (Periegesis Hellados) which was written in the second century CE. First, we describe the process of converting the volumes to spatial data using a customized version of the open-source digital semantic annotation platform Recogito. Then the focus shifts to the implementation of collected and organized spatial data to a number of GIS applications: namely Google Maps, DARIAH Geo-Browser, Gephi, Palladio and ArcGIS. Through empirical experimentation with spatial data and their implementation in different platforms, our paper charts the ways in which contemporary GIS applications may be implemented to cast new light on ancient understandings of identity, space, and place.

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Section: What Lies Ahead For the Digital Periegesis Project?mentioning

confidence: 99%

Visualizing Pausanias’s Description of Greece with contemporary GIS

Foka

Demiroglu

Barker

et al. 2021

Digital Scholarship in the Humanities

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“…The literature suggests that text clustering (simply putting similar texts together) is central in almost all CATA applications [5,6]. It is used as a starting point for many of the CATA applications including thematic analysis, genre classification, stylometry, and authorship attribution [5,[7][8][9][10][11][12][13][14].…”

Section: Literature Reviewmentioning

confidence: 99%

Feature Selection in Text Clustering Applications of Literary Texts: A Hybrid of Term Weighting Methods

Omar¹

2020

IJACSA

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The recent years have witnessed an increasing use of automated text clustering approaches and more particularly Vector Space Clustering (VSC) methods in the computational analysis of literary data including genre classification, theme analysis, stylometry, and authorship attribution. In spite of the effectiveness of VSC methods in resolving different problems in these disciplines and providing evidence-based research findings, the problem of feature selection remains a challenging one. For reliable text clustering applications, a clustering structure should be based on only and all the most distinctive features within a corpus. Although different term weighting approaches have been developed, the problem of identifying the most distinctive variables within a corpus remains challenging especially in the document clustering applications of literary texts. For this purpose, this study proposes a hybrid of statistical measures including variance analysis, term frequency-inverse document frequency, TF-IDF, and Principal Component Analysis (PCA) for selecting only and all the most distinctive features that can be usefully used for generating more reliable document clustering that can be usefully used in authorship attribution tasks. The study is based on a corpus of 74 novels written by 18 novelists representing different literary traditions. Results indicate that the proposed model proved effective in the successful extraction of the most distinctive features within the datasets and thus generating reliable clustering structures that can be usefully used in different computational applications of literary texts.

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“…Exploiting these channels, conversations in DH scholarship concentrate on a bevy of topics: historicizing, defining, conceptualizing, theorizing, analyzing, critiquing, criticizing, creating, building, producing, practicing, collaborating, disciplining and interdisciplining, developing infrastructure, teaching, institutionalizing, professionalizing, disseminating, rewarding, and archiving (Bartsherer and Coover, 2011;Berry, 2012;Burdick et al, 2012;Cohen and Scheinfeldt, 2013;Crompton et al, 2016;Deegan and McCarty, 2012;Gardiner and Musto, 2015;Gold, 2012;Jones, 2014;Klein, 2015;Klein and Gold, 2016;Nyhan et al, 2013; physical spaces. Fourth, both include topics from the other in their curricula and publish in each other's venues.…”

Section: Introductionmentioning

confidence: 99%

“Natural allies”

Poole

Garwood

2018

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Purpose In Digging into Data 3 (DID3) (2014-2016), ten funders from four countries (the USA, Canada, the UK, and the Netherlands) granted $5.1 million to 14 project teams to pursue data-intensive, interdisciplinary, and international digital humanities (DH) research. The purpose of this paper is to employ the DID3 projects as a case study to explore the following research question: what roles do librarians and archivists take on in data-intensive, interdisciplinary, and international DH projects? Design/methodology/approach Participation was secured from 53 persons representing eleven projects. The study was conducted in the naturalistic paradigm. It is a qualitative case study involving snowball sampling, semi-structured interviews, and grounded analysis. Findings Librarians or archivists were involved officially in 3 of the 11 projects (27.3 percent). Perhaps more importantly, information professionals played vital unofficial roles in these projects, namely as consultants and liaisons and also as technical support. Information and library science (ILS) expertise helped DID3 researchers with issues such as visualization, rights management, and user testing. DID3 participants also suggested ways in which librarians and archivists might further support DH projects, concentrating on three key areas: curation, outreach, and ILS education. Finally, six directions for future research are suggested. Originality/value Much untapped potential exists for librarians and archivists to collaborate with DH scholars; a gap exists between researcher awareness and information professionals’ capacity.

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Doing Digital Humanities

Cited by 18 publications

References 0 publications

Visualizing Pausanias’s Description of Greece with contemporary GIS

Visualizing Pausanias’s Description of Greece with contemporary GIS

Feature Selection in Text Clustering Applications of Literary Texts: A Hybrid of Term Weighting Methods

“Natural allies”

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