id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
hij-933	Guo, Yuchen; Guo, Jianwei	A Method for Assessing Urban Industrial Ecological Efficiency Using SBM-GML Model with Tax Reduction	2024	16	.pdf	application/pdf	10171	536	49	In terms of LDA topic models, the traditional LDA model highly relies on word frequency analysis in the process of topic modeling, which may lead to insufficient accuracy of topic extraction in the face of complex policy texts. The integration of co-occurrence analysis of policy words and topic feature extraction could effectively improve the accuracy of policy text clustering so as to better understand the potential impact of tax reduction policies on industrial EE.	cache/hij-933.pdf	txt/hij-933.txt