id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
hij-129	Pes, Giulia; Lo Duca, Angelica; Marchetti, Andrea	Towards a Sentiment Analysis of Tweets from Online Newspapers Regarding the Coronavirus Pandemic	2021	14	.pdf	application/pdf	7071	416	60	The results of the research show that the sentiment of the news from the ANSA Agency contains 62.3% of positive news, 37.3% of negative news, and only 0.3% of neutral news. Therefore, it is crucial to identify the trend in news sentiment over time (Karishma Sharma et al., 2020).	cache/hij-129.pdf	txt/hij-129.txt
