Open AccessUSING 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) - computer science , naive bayes classifier , machine learning , decision tree , artificial intelligence , classifier (uml) , random forest , sentiment analysis , ensemble learning , natural language processing , data mining , support vector machine