id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fuelectenerg-12744	Jahani Rad, Pouyan; Bahaghighat, Mahdi	HIERARCHICAL TEXT CLASSIFICATION FOR WEB OF SCIENCE SCIENTIFIC FIELDS	2024	30	.pdf	application/pdf	9430	518	50	Dimension Size Train Accuracy Train Precision Train Recall Test Accuracy Test Precision Test Recall 300 96% 96% 95% 92% 92% 91% Table 19 outlines the performance metrics of a DNN classifier used at the child level of hierarchical classification models. By integrating domain-specific knowledge, promoting multidisciplinary cooperation, improving semantic textual content similarity, and knowledge hierarchical structural evolution in a systematic area [48, 49], hierarchical classification models can be progressed extra and made applicable in plenty of scientific settings.	cache/fuelectenerg-12744.pdf	txt/fuelectenerg-12744.txt