id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-7991	Liu, Yulin	Quantum-based Detection of Higly Semantically Similar Social bot	2023	5	.pdf	application/pdf	3823	225	58	Experiments show that the method we designed can accurately identify social bot, and the cross- disciplinary combination the quantum similarity algorithm has better performance than the traditional similarity algorithm in judging the similarity of social bot texts. Processing and classification, and then adding the quantum similarity algorithm in the emerging quantum discipline in recent years to the structural system of social bot detection to perform similarity clustering, which greatly improves the operating efficiency of the system, and then obtains the corresponding user attribute characteristics for artificial intelligence.	cache/fcis-7991.pdf	txt/fcis-7991.txt