Abstract
This project aims to predict personally identifiable information (PII), such as the age and gender of an author, by extracting features from their personal content blog texts. Classifiers are trained on content based features and on semantic features extracted from a knowledge base such as Wikipedia, exploring the contextual differences between blogs written by different people.
