Article Title

TEXT CLUSTERING IN CONCEPT BASED MINING

Authors

PRADNYA S. RANDIVE, Department of Computer Engineering, Maharashtra Institute of Technology, Pune, IndiaFollow
NITIN N. PISE, Department of Computer Engineering, Maharashtra Institute of Technology, Pune, IndiaFollow

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