International Journal of Application or Innovation in Engineering & Management (IJAIEM)
Classification plays a vital role in many information management and retrieval tasks. This paper studies classification of text document. Text classification is a supervised technique that uses labeled training data to learn the classification system and then automatically classifies the remaining text using the learned system. In this paper, the authors propose a mining model consists of sentence-based concept analysis, document-based concept analysis, and corpus-based concept-analysis. Then they analyze the term that contributes to the sentence semantics on the sentence, document, and corpus levels rather than the traditional analysis of the document only.