Date of Award
Open Access Master's Report
Master of Science in Computer Science (MS)
Administrative Home Department
Department of Computer Science
Committee Member 1
Committee Member 2
StackOverflow is an extensively used platform for programming questions. In this report, text mining and machine learning classifiers such as decision trees and Naive Bayes are used to evaluate whether a given question posted on StackOverflow will be closed or answered. While multiple models were used in the analysis, the performance for the models was no better than the majority classifier. Future work to develop better performing classifiers to understand why a question is closed or answered will require additional natural language processing or methods to address the imbalanced data.
Morris, Taylor, "USING TEXT MINING AND MACHINE LEARNING CLASSIFIERS TO ANALYZE STACK OVERFLOW", Open Access Master's Report, Michigan Technological University, 2021.