Term Weighting Schemes for Slovak Text Document Clustering

Autor:	ZLACKÝ Daniel, STAŠ Ján, JUHÁR Jozef, CIŽMÁR Anton
Jazyk:	angličtina
Rok vydání:	2013
Předmět:	inverse document frequency Poisson distribution residual inverse document frequency term frequency Electrical engineering. Electronics. Nuclear engineering TK1-9971
Zdroj:	Journal of Electrical and Electronics Engineering, Vol 6, Iss 1, Pp 163-166 (2013)
Druh dokumentu:	article
ISSN:	1844-6035 2067-2128
Popis:	Text representation is the task of transforming the textual data into a multidimensional space with corresponding weights for every word. Wehave tested several widely used term weighting methods on manually created database from Slovak Wikipedia articles. The created vector space models were used as an input in unsupervised clustering algorithms, which cluster text documents based on these created models. We have tested nine different weighting schemes withK-mean clustering algorithm. The best results were obtained by TF-RIDF weighting scheme. However, the next experiments with different clustering techniques have not confirmed previous results.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/5497dae3b2774bc4a5070765ab98d082 Zobrazit plný text záznamu View record in DOAJ