A Survey of Text mining Using User Required Information

Abstract: Now days, many companies for the sake of promoting their product and services sham the respective services content of their products amongst the organizations. This textual content contains significant amount of structured of useful information which is buried by the unstructured text or content. And therefore the text mining from that unstructured data is not effective and gives the ineffective results on to the clients and hence affects the business. In a typical organization, only 20% of the information that exists is well formed – living in relational databases or legacy mainframe transactional systems. This information which we refer to as structured information. In the same typical organization, 80% of the information that exists is often unstructured information. Our approach relies on the idea that many structured and useful information arrives at the time of implementation of subject and if this information is mentioned in our sharing content then this help in effective text mining and obtain the data of interest and desired results.

General Terms: Unstructured data, structured data, structured information retrieval, extracted data search model.