The Fundamentals of Text Analysis with Supervised Machine Learning

In this Open Lab, Digital Humanities Analyst,Namig Abbasov, will first quickly review the fundamentals of text analysis and then apply a range of supervised learning techniques, including linear and logistic regression, L1 and L2 regularization, cross-validation (CV), K-Nearest Neighbors (KNN) and Support Vector Machines (SVMs), to analyze text data.