id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cord-319323-1qt7vf59	Chakraborty, Amartya	Around the world in 60 days: an exploratory study of impact of COVID-19 on online global news sentiment	2020-10-21		.txt	text/plain	7876	252	44	Personal and Ubiquitous Computing Sentiment analysis and the complex natural language Stock price prediction using news sentiment analysis Sentiment analysis on english financial news Finenews fine-grained semantic sentiment analysis on financial microblogs and news Market trend prediction using sentiment analysis: lessons learned and paths forward Enhanced news sentiment analysis using deep learning methods Discovering the correlation between stock time series and financial news Time series analysis on stock market for text mining correlation of economy news Trading strategies to exploit blog and news sentiment Agenda-setting The agenda-setting function of mass media Problems and opportunities in agenda-setting research After disaster: Given these observations and the ongoing pandemic, the authors were motivated to make the following research contributions: -The current work determines the general sentiment of news articles during the ongoing pandemic with unsupervised and transfer learning-based approaches, -This is the only work, as per the authors' knowledge, that determines the implications of temporal statistics in a pandemic situation, on news sentiment throughout the world during a fixed period of study.	cache/cord-319323-1qt7vf59.txt	txt/cord-319323-1qt7vf59.txt
