An Introduction to Machine Learning with Web Data

Glossary

• Stemming: Reducing words to linguistic stems.
• parametric:

Algorithms

• Naive Bayes

• K Nearest Neighbor: fails in text data

• SVM

• Boosting: combine weak-learners to create a strong-learner

• Agglomerative Clustering

• Divisive Clustering

• K Means Clustering

• Euclidean

  for things that can be represented in euclidean space or to measure similarity in space

• Cityblock

  for binary

• Jaccard

  for completely random f

Hacks

• Use wordnet to bootstrap a larger, more descriptive feature set for text data.

Resources

• WordNet
• Wordnik