USING TEXT MINING AND MACHINE LEARNING CLASSIFIERS TO ANALYZE STACK OVERFLOW
Author(s) -
Taylor Monroe Morris
Publication year - 2021
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.37099/mtu.dc.etdr/1225
Subject(s) - naive bayes classifier , computer science , machine learning , artificial intelligence , decision tree , classifier (uml) , random forest , natural language processing , ensemble learning , data mining , support vector machine
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