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
Tuesday 10-29: Notebook 03: Text data with Pandas and Sklearn
Thursday 11-07: Notebook 05: Multilayer perceptron models for classification
Tuesday 11-12: Intro to n-gram language models (see Chapter 3 of Speech and Language Procesing)