id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_qgiq6spd4rcknekgvhztvfy7ku	Abdulfattah Omar	Feature Selection in Text Clustering Applications of Literary Texts: A Hybrid of Term Weighting Methods	2020	9	.pdf	application/pdf	6977	763	64	Feature Selection in Text Clustering Applications of Literary Texts: A Hybrid of Term Weighting Methods Feature Selection in Text Clustering Applications of Vector Space Clustering (VSC) methods in the computational analysis of literary data including genre classification, theme document clustering applications of literary texts. including variance analysis, term frequency-inverse document in different computational applications of literary texts. text clustering; TF-IDF; variance; VSC increasing amount of humanities computing literature on text application of computational methods in literary studies over clustering methods are effective in identifying what a text is The literature also suggests that text clustering methods are the potentials of computational approaches and text clustering relation to the problem of feature selection in text clustering is a pre-processing step in text clustering applications where different term weighting methods including variance, TF-IDF, For text clustering purposes, a data matrix M was built. Using K-means clustering, the texts or data points of the 	./cache/work_qgiq6spd4rcknekgvhztvfy7ku.pdf	./txt/work_qgiq6spd4rcknekgvhztvfy7ku.txt