Understanding temporal aspects in document classification
Fernando Mourão, Leonardo Rocha, Renata Bernardo Araújo, Thierson Couto, Marcos André Gonçalves, Wagner Meira · 2008
Due to the increasing amount of information present on the Web, Automatic Document Classification (ADC) has become an important research topic. ADC usually follows a standard supervised learning strategy, where we first build a model using preclassified documents and then use it to classify new unseen documents. One major challenge for ADC in many scenarios is that the characteristics of the documents and the classes to which they belong may change over time. However, most of the current techniques for ADC are applied without taking into account the temporal evolution of the collection of documents