The student Raghad Mohammed Hadi received her Ph.D. degree from the Department of Computer Sciences / University of Technology for her thesis (Text Document clustering model using Singular Value Decomposition and Modified Fuzzy C Mean.). The student thesis proposed a system that tries to help the user to compile a large data set from any source and design A program that can identify the information that helps to bridge this huge data by analyzing the data set given. This data processing has been enhanced by adding a stage called a remote processing step. This step helps the proposed system to extract important terms that affect In the compilation of documents, and the proposed system has been adapted to this aspect because some terms negatively affect the compilation process, which takes a long time to compile, the proposed system finds terms that have a high repetition in the document and exclude the terms that have low repetition in the document, The proposed system is based on statistically significant and related terms that lead to the consolidation process. It was on Monday 26/2/2018 and on the discussion hall in the department and the discussion committee was composed of (Dr. Matheel Emaduddin Abdel Moneim, Dr. Aliaa' Karim Abdelhasen and Dr. Hassanein Samir Abdullah) from the University of Technology / Department of Computer Sciences and (Dr. Thaher Abdul Hadi Abdullah) from the University of Diyala / Faculty of Science / Department of Computer Science and (Dr. Mortada Mohammed Hamad) from Al Anbar University / Department of Computer Science.