My attempts at using text classification schemes to interpret Twitter stream data. Built on Ruby 1.9.2 (not sure if it works on 1.8).
- Naive Bayes Classifier
- Support Vector Machines
- Simple word frequency
- Retweet classifier
- "Happy tweet" classifier
- Manual classifier
- Twitter "firehose" plumbing
- @igvita on using Bayes Classifiers in Ruby
- @hmason's library for classifying Twitter data
- Reference page for Ruby AI libraries
- Official page for SVM library
- Add more examples
- Address the distinct lack of tests