Statistical Label Classifier

Use the topic-labeler facility from UTD

• Compute several features for each phrase term

  • tf-idf, p(t|F), p(t|F) / p(t), % docs in folder with this term, is the term a multi-word phrase?,is it a person-name?, location-name?, org-name?

• Compute p(term is label | features)

  • Model is trained on PSM topics (which have labels)

Behavior:

• Terms are always in folder

• Terms are almost always relevant

Previous slide

Next slide

Back to first slide

View graphic version