A novel nonlinear discriminant analysis method, Kernelized Decision Boundary Analysis (KDBA), is proposed in our paper, whose Decision Boundary feature vectors are the normal vecto...
To ease the retrieval of documents published on the Web, the documents should be classified in a way that users find helpful and meaningful. This paper presents an approach to sema...
We present a new ensemble method that uses Entropy Guided Transformation Learning (ETL) as the base learner. The proposed approach, ETL Committee, combines the main ideas of Baggin...
Our goal is to use natural language processing to identify deceptive and nondeceptive passages in transcribed narratives. We begin by motivating an analysis of language-based dece...
Joan Bachenko, Eileen Fitzpatrick, Michael Schonwe...
This paper addresses a relatively new text categorization problem: classifying a political blog as either `liberal' or `conservative', based on its political leaning. Ins...