id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_ixvauytlgvettfi3slvyqdhnne	Maciej Eder	Stylometry with R: A Package for Computational Text Analysis	2016	15	.pdf	application/pdf	7712	646	56	of stylo for computational text analysis, via a number of dummy case studies from English and French Authorship attribution plays a prominent role in the nascent field of stylometry, or the computational analysis of writing style (Juola, 2006; Stamatatos et al., 2000; Stamatatos, 2009; Koppel et al., 2009; feature extraction, (iii) statistical analysis, and finally, (iv) presentation of results, e.g. via visualization. Crucial in stylometry is the extraction of quantifiable features related to the writing style of texts The high-level functions of the package provide a number of Graphical User Interfaces (GUIs) which can be used to intuitively set up a number of established experimental workflows with a few clicks (e.g. unsupervised visualization of texts based on word frequencies). stylo offers a rich set of options to load texts in various formats from a file system (preferably encoded et al., 2013; van Dalen-Oskam, 2014; Lauer and Jannidis, 2014; Anand et al., 2014; Oakes and Pichler,	./cache/work_ixvauytlgvettfi3slvyqdhnne.pdf	./txt/work_ixvauytlgvettfi3slvyqdhnne.txt