Function that analyses collaborative works and tries to determine the authorship of their fragments.
an optional argument; if switched on, a simple yet effective
graphical user interface (GUI) will appear. Default value is
if not specified, the current working directory will be used for input/output procedures (reading files, outputting the results).
the subdirectory (within the current working
directory) that contains a collection of texts written by the authorial
candidates, likely to have been involved in the collaborative work
analyzed. If not specified, the default subdirectory
the subdirectory (within the current working directory) that
contains the collaborative work to be analyzed. If not specified,
the default subdirectory
The procedure provided by this function analyses collaborative works and tries to determine the authorship of their fragments. The first step involves a "windowing" procedure (Dalen-Oskam and Zundert, 2007) in which each reference text is segmented into consecutive, equal-sized samples or windows. After "rolling" through the test text, we can plot the resulting series of Delta scores for each reference text in a graph.
The function returns an object of the class
produces a final plot.
Mike Kestemont, Maciej Eder, Jan Rybicki
Eder, M., Rybicki, J. and Kestemont, M. (2016). Stylometry with R: a package for computational text analysis. "R Journal", 8(1): 107-21.
van Dalen-Oskam, K. and van Zundert, J. (2007). Delta for Middle Dutch: author and copyist distinction in Walewein. "Literary and Linguistic Computing", 22(3): 345-62.
Hoover, D. (2011). The Tutor's Story: a case study of mixed authorship. In: "Digital Humanities 2011: Conference Abstracts". Stanford University, Stanford, CA, pp. 149-51.
Rybicki, J., Kestemont, M. and Hoover D. (2014). Collaborative authorship: Conrad, Ford and rolling delta. "Literary and Linguistic Computing", 29(3): 422-31.
Eder, M. (2015). Rolling stylometry. "Digital Scholarship in the Humanities", 31(3): 457-69.
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