Lecture Notes
Tuesday 09-03: Intro, Text as Strings, Classification, Sentiment Analysis, Features, Weights
Tuesday 09-05: Matrix Representations, Weights and Bias, Sigmoid, Model Predictions for Binary Classification
Tuesday 09-24: Word-level feature representations and vector semantics