How can machine learning and natural language processing enhance the traditional methods of cost analysis? By making it easier for humans to analyze large datasets, and by automating many of the manual, time-consuming tasks needed to cleanse and prepare the data for analysis.
This presentation examines several applications in which the authors integrated Natural Language Processing using python libraries, with various Machine Learning methods, in particular trees, randomization, and boosting, to improve prediction accuracy.
