Text Classification

Posted in Science on July 25, 2008


Text Classification

Lecture slides:

  • Outline
  • Text Classification: definition
  • Text Classification: Examples
  • Representing text for classification
  • Representing text: a list of words
  • Text Classification with Naive Bayes
  • Naïve Bayes for SPAM filtering (Sahami et al, 1998)
  • circa 2003…
  • TITLE
  • Naive Bayes Summary
  • Outline
  • Representing text: a list of words
  • Representing text: a bag of words
  • The Curse of Dimensionality
  • Margin-based Learning
  • The Voted Perceptron
  • The Voted Perceptron: Proof
  • Lessons of the Voted Perceptron
  • More on Support Vectors for Text
  • Support Vector Machine Results
  • TF-IDF Representation
  • Support Vector Machine Results
  • TF-IDF Representation
  • Other Fast Discriminative Methods
  • Outline
  • Text Classification: Examples
  • Classifying Reviews as Favorable or Not
  • Classifying Movie Reviews
  • Outline
  • Classifying Email into Acts
  • Idea: Predicting Acts from Surrounding Acts
  • Evidence of Sequential Correlation of Acts
  • Content versus Context
  • Collective Classification algorithm (based on Dependency Networks Model)
  • Agreement versus Iteration
  • Outline
  • Summary & Conclusions

Author: William Cohen, Carnegie Mellon University

Watch Video

Tags: Science, Lectures, Computer Science, VideoLectures.Net, Text Mining