Analysis of the quality of the painting process using preprocessing techniques of text mining

Abstract

Text mining is a relatively new area of computer science, and its use has grown immensely lately. The aim is to join two dataset from different data sources and to acquire information about percentage defects from the painting process, which are transmitted from the manufacturing to the end customers. The data sets are totally different and for their joining using text attributes, preprocessing are needed.