Examine basic machine learning methods, with an emphasis on building applications that intelligently analyze text. Explore supervised learning (e.g., logistic regression, neural networks), unsupervised learning (e.g., clustering), and natural language processing. Only one of the following may be counted: Linguistics 371, 373 (Topic: Machine Learning Text Analysis), 373N. Three lecture hours a week for one semester.