id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_a536k3ux6zfina57hcqvb3wgge	Federico Nanni	Semi-supervised Textual Analysis and Historical Research Helping Each Other: Some Thoughts and Observations	2016	15	.pdf	application/pdf	6591	368	49	Keywords: semi-supervised methods; historical studies; data analysis; borndigital archives practice of historical research and the use of computational methods: researchers in digital humanities need to bear in mind their long-term computational methods for studying historical corpora, namely for dataexploration and general hypothesis-confirmation analyses, we believe that a diachronic description of the use of computational methods in historical research humanities scholars, researchers can study the resulting clusters in order to historical research and computational approaches have been presented.22 In (i.e. literary studies researchers and digital archivists), the words 'text mining' textual analysis techniques most widely used in historical research (e.g., topic Topic modeling is arguably the most popular text mining technique in digital methods in the humanities, this is data-driven research.30 More specifically, we language processing, could also become established research methods in digital of digital humanities scholars employing text mining methods. Weingart, 'The digital humanities contribution to topic modeling', Journal of	./cache/work_a536k3ux6zfina57hcqvb3wgge.pdf	./txt/work_a536k3ux6zfina57hcqvb3wgge.txt