An approach to managing and organizing text documents using of intelligent text analysis

Regarding the fact that stored data occupies a large space in organizations and retention systems and information management that has been resulted in gigantic data warehouses, extract the appropriate model need is felt increasingly. Text mining is one of the most significant methods for extracting a useful and appropriate model that helps organizations achieving their goals through extraction and adaption f knowledge out of data sets. Those methods allow for a new horizon for trading and protecting intellectual property of authors’ works. In this paper, a new approach is needed to decipher the text patterns to organize and intelligent text analysis. The main purpose of applying the proper method of preserving the works of writers, scholars and text documents. Regarding the number of those works and documentary management systems the size of available data has been increased considerably. In order to uncover the implicit knowledge out of this data with considerable usefulness for users a specific method is required that has been practiced in the data mining field. Much of this data is unstructured or semi-structured text are available which allow one to use it can be used in addition to data mining methods, technologies such as natural language processing, intelligent analysis and Science Statistics used.