id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fbem-3311	Fan, Xiaoyuan; Chen, Jiashuo	Stock Price Forecasting in Real Estate Industry Based on Investor Sentiment	2022	6	.pdf	application/pdf	2756	124	49	Investor sentiment data and stock market data make up the majority of the data selected for this article. This paper decides to use a combination of subjective and objective approaches, combining investor sentiment with convolutional neural networks and introducing functional principal component analysis to identify the primary characteristics of real estate industry stock data and forecast its movement trend in order to improve the accuracy of the forecast.	cache/fbem-3311.pdf	txt/fbem-3311.txt
