lecture10.md

##Lecture 10

Text Analysis: Topic Detection and Visualization, Part II

Assignment 4 (due april 7)

Presentations on April 19 and April 26

• Topic modeling definitions
• A list of important algorithms
• Visualizations
• Sentiment analysis

This week, some theory:

Topic Detection and Learning

• Supervised Learning
• Regression Methods
• Supervised Classifiers
• Naive Bayes Classifier
• Logistic Regression (Categorical DV)
• Support Vector Machines (SVM)
• Stochastic Gradient Descent
• Maximum Entropy Classifiers

See also this tutorial on Naive Bayes Learning with text data.

Check the visualization samples in the previous lecture as examples for your assignment 4.