A Review on Improved Text Mining Approach for Conversion of Unstructured to Structured Text?

In text mining, the purpose is to process unstructured (textual) information, extract meaningful numeric indices from the text, and thus make the information contained in the text accessible to the various data mining. A new approach to extracting information from unstructured documents based on an application ontology that describes a domain of interest. More knowledge and information eventually available into computers, critical capability of systems supporting learning management is classification of documents into ordering that are meaningful to the user. Ontology based text mining method used for accordingly constructing and renovating D-matrix by mining hundreds of thousands of repair verbatim collected during diagnosis period. In this paper we will proposed text mining algorithms to process data on the unstructured text to use of this ontology for identify the necessary artifacts, like parts, symptoms, failure modes and dependencies from the unstructured repair verbatim text.