- Extract features from text into numerical vectors, then build a binary classifier for tweets using a logistic regression
- Error analysis, Naive Bayes inference, Log likelihood, Laplacian smoothing, Conditional probabilities, Bayes rule, Sentiment analysis, Vocabulary creation, Supervised learning
- Create word vectors that capture dependencies between words, then visualize their relationships in two dimensions using PCA
- Transform word vectors and assign them to subsets using locality sensitive hashing, in order to perform machine translation and document search.