id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fbem-29705	Long, Keyu	Stock Trend Prediction for Energy Sector Stocks Based on Investor Sentiment and Deep Learning	2025	9	.pdf	application/pdf	5853	245	47	Due to the high degree of uncertainty in stock market data, many researchers have begun to utilize a combination of algorithms to construct models. Also, in order to combine the textual information with stock market data, it is necessary to ensure that the sentiment score is temporally aligned with data such as stock prices and trading volumes.	cache/fbem-29705.pdf	txt/fbem-29705.txt
