Automatic Categorization of Questions for a Mathematics Education Service
Ken Williams, Rafael A. Calvo, David Bell · 2003
This paper describes a new approach to managing a stream of questions about mathematics by integrating a text categorization framework into a relational database management system. The corpus studied is based on unstructured submissions to an ask-an-expert service in learning mathematics. The classification system has been tested using a Nave Bayes learner built into the framework. The performance results of the classifier are also discussed. The framework was integrated into a PostgreSQL database through the use of procedural trigger functions.