International Journal of Computer and Communication Technology
Article Title
Abstract
In text mining most techniques depends on statistical analysis of terms. Statistical analysis trances important terms within document only. However this concept based mining model analyses terms in sentence, document and corpus level. This mining model consist of sentence based concept analysis, document based and corpus based concept analysis and concept based similarity measure. Experimental result enhances text clustering quality by using sentence, document, corpus and combined approach of concept analysis.
Recommended Citation
RANDIVE, PRADNYA S. and PISE, NITIN N.
(2016)
"TEXT CLUSTERING IN CONCEPT BASED MINING,"
International Journal of Computer and Communication Technology: Vol. 7:
Iss.
1, Article 8.
DOI: 10.47893/IJCCT.2016.1331
Available at:
https://www.interscience.in/ijcct/vol7/iss1/8
DOI
10.47893/IJCCT.2016.1331
