Text Analysis Across Disciplines
Text analysis can mean different things to different audiences: from close reading of literary texts, to critical reflections on historical sources, to the computational analysis of big data using text mining techniques. The project seek to forge a continuum among these diverse disciplinary approaches to text analysis: from the analog to the digital, from the historical to the contemporary, from pure research to public outreach. This project has grown out of the work of the Digital Humanities Initiative (DHI), an 18-month exploratory project funded by the Humanities Initiative. After surveying the CEU community and spending the 2016-2017 year consulting with faculty, staff, and students in virtually every department and program on campus, the project team has identified text analysis as the one area of digital research which is much in demand, but critically absent from CEU’s curricula and research profile. Therefore, the project will offer courses, master classes, project incubation, and several public events to demonstrate the crucial role of text analysis in ‘small,’ ‘medium’ and ‘big data’ research. In order to introduce the techniques and methodologies specific to text analysis at CEU, the team will draw on working partnerships that the DHI has established with several Hungarian institutions (ELTE, the Petofi Literary Museum, and the Institute for Literary Studies and the Institute for Historical Research at the Academy of Sciences), as well as the European-wide DARIAH network. The primary goals for the TANAD project is to successfully establish 2 university-wide courses and several grant-worthy projects which bridge the work of the Just Data initiative with ongoing text-based research in departments and programs across the university.