id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_t2ivttbxvjfh5m7xoe5zpzje7i	Simone Rebora	Mining Goodreads. A Digital Humanities Project for the Study of Reading Absorption	2020	6	.pdf	application/pdf	2276	192	55	A Digital Humanities Project for the Study of Reading We present our method and interim results of the "Mining Goodreads" project, aimed at developing a computational approach to measure reading absorption in user-generated book reviews in English. empirical literary studies, natural language processing, and digital humanities, with the goal of producing a gold-standard annotated dataset and strengthening the theoretical framework of reading rounds, while machine learning approaches were applied on the annotated corpus, producing reading absorption; social reading; empirical literary studies; machine learning; inter-annotator that matches with the SWAS statement "I felt absorbed in the story"); another reviewer by the fact that Goodreads hosts about 90 million reviews [http2]: a big data repository that Between March 2019 and May 2020, the five annotators have tagged a total of 830 reviews. amounts of annotated reviews gradually diminished at each round (offering the possibility to Number of tags and annotated reviews. "Detection of Reading Absorption in User-Generated Book Reviews: Resources 	./cache/work_t2ivttbxvjfh5m7xoe5zpzje7i.pdf	./txt/work_t2ivttbxvjfh5m7xoe5zpzje7i.txt