id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
bracis-28421	Sakiyama, Kenzo; Rodrigues, Lucas de Souza; Nogueira, Bruno Magalhães; Matsubara, Edson Takashi; Romero, Roseli A. F.	A Framework for Controversial Political Topics Identification Using Twitter Data	2023		.htm	text/html	6251	373	52	[19] algorithm to cluster tweets and extract common topics, inspired by the success of previous works [4, 14]. We propose a framework that enriches text representations, combining state-of-the-art unsupervised (HDBSCAN) and supervised (BERTimbau) techniques to identify controversial political topics in social media publications in Brazilian Portuguese.	cache/bracis-28421.htm	txt/bracis-28421.txt