Challenges of the Email Domain for Text Classification
Interactive classi cation of email into a userde ned hierarchy of folders is a natural domain for application of text classi cation methods. This domain presents several challenges. First, the user's changing mailling habits mandate classi cation technology adapt in a dynamic environment. Second, the classi cation technology needs to be able to handle heterogeneity in folder content and folder size. Performance when there are only a small number of messages in a folder is especially important. Third, methods must meet the processing and memory requirements of a software implementation. We study three promising methods and present an analysis of their behavior with respect to these domain-speci c challenges.