The Simplest Document Classifier

Abstract

Document Classification (DC) is the task to assign a document to a specific category. Deep convolutional neural network (DCNN) outperforms humans in DC in terms of speed and accuracy. However, the internal classification process of DCNN-based classifiers is in a black box. Here we propose an extremely simple algorithm for DC that is very fast and highly accurate, and allows us to examine classification processes. We demonstrate the validity of the proposed method, using major document data bases such as 20 Newsgroups, Livedoor-news, IMDB, and Twitter.