Visual Text Analysis in Digital Humanities
| Autor: | Stefan Jänicke, Greta Franzini, Muhammad Faisal Cheema, Gerik Scheuermann |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
060201 languages & linguistics
Information retrieval Computer science business.industry Interpretation (philosophy) media_common.quotation_subject Data transformation 020207 software engineering 06 humanities and the arts 02 engineering and technology Computer Graphics and Computer-Aided Design Text mining Categorization Digital humanities Reading (process) Taxonomy (general) 0602 languages and literature Close reading 0202 electrical engineering electronic engineering information engineering business media_common |
| Zdroj: | Computer Graphics Forum. 36:226-250 |
| ISSN: | 0167-7055 |
| DOI: | 10.1111/cgf.12873 |
| Popis: | In 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Plný text