Automatic content-based categorization of Wikipedia articles

Abstract

Wikipedia's article contents and its category hierarchy are widely used to produce semantic resources which improve performance on tasks like text classification and keyword extraction. The reverse -- using text classification methods for predicting the categories of Wikipedia articles -- has attracted less attention so far. We propose to "return the favor" and use text classifiers to improve Wikipedia. This could support the emergence of a virtuous circle between the wisdom of the crowds and machine learning/NLP methods.