id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_sr2z2fcg25f2dokho4nyhmjap4	Kaylin Land	Predicting Author Gender Using Machine Learning Algorithms: Looking Beyond the Binary	2020	13	.pdf	application/pdf	4452	394	54	Predicting Author Gender Using Machine Learning Algorithms: Looking Beyond the Binary that utilize computer algorithms to identify author gender and feminist of author gender and to ask larger questions about algorithmic criticism, of algorithms to identify author gender assumes a binary approach that rests upon Naturally, an algorithmic examination of literature written by men and women Author gender studies that find women write differently than men Land: Predicting Author Gender Using Machine Learning Algorithms Art. 8, page 11 of 12 Land: Predicting Author Gender Using Machine Learning Algorithms Art. 8, page 11 of 12 Land: Predicting Author Gender Using Machine Learning Algorithms Art. 8, page 11 of 12 Land: Predicting Author Gender Using Machine Learning Algorithms Art. 8, page 11 of 12 Land: Predicting Author Gender Using Machine Learning Algorithms Art. 8, page 11 of 12 2. Assumptions of algorithm author gender studies 2. Assumptions of algorithm author gender studies	./cache/work_sr2z2fcg25f2dokho4nyhmjap4.pdf	./txt/work_sr2z2fcg25f2dokho4nyhmjap4.txt