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. Similarity-based on matching of concepts between document pairs, is shown to have a more significant effect on the clustering quality due to the similarity's insensitivity to noisy terms that can lead to an incorrect similarity.