Title
Visual Text Analysis in Digital Humanities
Abstract
AbstractIn 2005, Franco Moretti introduced Distant Reading to analyse entire literary text collections. This was a rather revolutionary idea compared to the traditional Close Reading, which focuses on the thorough interpretation of an individual work. Both reading techniques are the prior means of Visual Text Analysis. We present an overview of the research conducted since 2005 on supporting text analysis tasks with close and distant reading visualizations in the digital humanities. Therefore, we classify the observed papers according to a taxonomy of text analysis tasks, categorize applied close and distant reading techniques to support the investigation of these tasks and illustrate approaches that combine both reading techniques in order to provide a multi-faceted view of the textual data. In addition, we take a look at the used text sources and at the typical data transformation steps required for the proposed visualizations. Finally, we summarize collaboration experiences when developing visualizations for close and distant reading, and we give an outlook on future challenges in that research area.
Year
DOI
Venue
2017
10.1111/cgf.12873
Periodicals
Keywords
Field
DocType
digital humanities,survey,visual text analysis,close reading,distant reading
Close reading,Computer vision,Categorization,World Wide Web,Text mining,Information retrieval,Computer science,Artificial intelligence,Digital humanities
Journal
Volume
Issue
ISSN
36
6
0167-7055
Citations 
PageRank 
References 
10
0.54
67
Authors
4
Name
Order
Citations
PageRank
Stefan Jänicke15516.71
Greta Franzini2167.68
Muhammad Faisal Cheema3101.90
Gerik Scheuermann41382112.65