NLP-Based Detection of Mathematics Subject Classification.

We present a classifier for the Mathematics Subject Classification (MSC) system, combining techniques in unsupervised learning such as nearest neighbors, and supervised learning such as neural networks. We will discuss the challenges presented in the classification task, such as the large number of possible classes, many with overlapping scope; and describe the data processing and experimental methodologies employed.