Sebastian Raschka, 2015

Python Machine Learning - Code Examples

Chapter 8 - Applying Machine Learning to Sentiment Analysis

• Obtaining the IMDb movie review dataset
• Introducing the bag-of-words model
  • Transforming words into feature vectors
  • Assessing word relevancy via term frequency-inverse document frequency
  • Cleaning text data
  • Processing documents into tokens
• Training a logistic regression model for document classification
• Working with bigger data – online algorithms and out-of-core learning
• Summary