Abstract: Text Mining is the technique that helps users find useful information from a large amount of text documents on the web or database.Most popular text mining and classification methods have adopted term-based approaches. The term based approaches and the pattern-based method describing user preferences; yet, how to effectively use large scale patterns remains a hard problem in text mining. This paper discovered two challenging issues like low-support-problem and misinterpretation problem, to make a breakthrough in these challenging issues, presents an innovative model that is concept-based model. A concept-based mining model that relies techniques on the analysis of both the sentence based and document based concept analysis to overcome the issues of low-support-problem and misinterpretation problem and to improve the effectiveness of using and updating discovered patterns for finding relevant and irrelevant documents.

Keywords: Text mining, Text feature extraction, Text classification, Pattern mining.