This research developed a method for analyzing and classifying text documents. The project applied several classifiers from Sci-kit Learn to near miss records. This research determined classification accuracy and examined execution time. The run time for Sci-kit Learn was acceptable and the accuracy ranged from 5% to 80%. The project illustrates the effectiveness of Sci-kit Learn on large scale text mining problems.
