Markus Luczak-Roesch
Adam Grener
ABSTRACT
Here we present a novel tool for the digital humanities that leverages temporal data mining, network science, and visual analytics. Our initial user studies show that this approach facilitates a new collaborative methodological practice that is a hybrid of close and distant reading.
- Bamman, D., Underwood, T., and Smith, N. A. A bayesian mixed effects model of literary character. In ACL (1) (2014), 370--379.Google Scholar
- Burbules, N. C. Rhetorics of the web: Hyperreading and critical literacy. Page to screen: Taking literacy into the electronic era (1998), 102--122.Google Scholar
- Elson, D. K., Dames, N., and McKeown, K. R. Extracting social networks from literary fiction. In Proceedings of the 48th annual meeting of the association for computational linguistics, Association for Computational Linguistics (2010), 138--147. Google ScholarDigital Library
- Luczak-Roesch, M., Tinati, R., and Shadbolt, N. When resources collide: Towards a theory of coincidence in information spaces. In Proceedings of the 24th International Conference on World Wide Web, ACM (2015). Google ScholarDigital Library
- Luczak-Roesch, M., Tinati, R., Van Kleek, M., and Shadbolt, N. From coincidence to purposeful flow? properties of transcendental information cascades. In Proceedings of the IEEE/ACM ASONAM conference, ACM (2015). Google ScholarDigital Library
- Moretti, F. Network theory, plot analysis. New Left Review (2011).Google Scholar
- Piper, A. The constraints of character. introducing a character feature-space tool. https://txtlab.org/?p=611.Google Scholar
- Piper, A. Detecting literary characters. https://txtlab.org/?p=559.Google Scholar
- Piper, A. Development of a (semi-) automatic character network tool. https://novel-tm.ca/?p=472.Google Scholar
Index Terms
- Twenty Thousand Leagues Above the Book: An Interactive Visual Analytics Approach to Literature
Recommendations
Research Collaborations in Multidisciplinary Institutions: a Case Study of iSchools
WWW '16 Companion: Proceedings of the 25th International Conference Companion on World Wide WebAlthough closely related, multidisciplinarity and interdisciplinarity are different. The former indicates the co-existence of multiple disciplines while the latter is more about the integration among various areas. As collaboration between researchers ...
Discovering interesting usage patterns in text collections: integrating text mining with visualization
CIKM '07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge managementThis paper addresses the problem of making text mining results more comprehensible to humanities scholars, journalists, intelligence analysts, and other researchers, in order to support the analysis of text collections. Our system, FeatureLens1, ...
Exploring the emerging intellectual structure of archival studies using text mining: 2001-2004
Archival science, like other disciplines, is evolving into more specific interdisciplinary subfields. To determine this intellectual structure of archival science, the text mining method was used. The data were 432 articles from 2001 to 2004, and we ...
Comments