THE TEXT MINING SYSTEM FOR FORMLESS DATA TO STRUCTURED TABLE DATA

Data extraction is concerned with using natural language processing to naturally remove the fundamental nuances from text records. The inherent reliance of current methodologies on the application space and the objective language is a tremendous burden. A few ML strategies have been used to work with the data extraction frameworks’ portability. This task depicts an overall strategy for developing an in-line extraction framework using regular expression in conjunction with the technology. Working interaction in this task can be disseminated by the administrator and the client for a better presentation or to appropriately lead the undertaking. This text extraction method aided in the extraction of the file in table format. In this project, I am designing the application with two Python scripts for improved performance.