id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ijassa-1251	Nguyen, Thanh Viet; Kravets, Alla	A Novel Method for Predicting Technology Trends Based on Processing Multiple Data Sources	2023	22	.pdf	application/pdf	8721	503	49	(2023) Further work will focus on improving the evaluation metrics (RMSE, MAE, R2) by combining other relevant data sources (sentiment analysis in social networks, technological news, technical financial indicators), in order to enhance stock price prediction models using univariate and multivariate data approaches. In this paper, we proposed a method to predict technology trends based on processing multiple data sources by mining Web news, forecasting stock price trends of high-tech companies, and patent clustering analysis.	cache/ijassa-1251.pdf	txt/ijassa-1251.txt