Text Clustering in Concept Based Mining

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Provided by: Interscience Open Access Journals
Topic: Data Management
Format: PDF
Text mining mostly used to find out unknown information from natural language processing and data mining by applying various techniques. 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.
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