Classifying Stack Overflow Questions Quality using SVM

Abstract

This thesis aims to discover indicators of quality, and to use this knowledge to correctly classify the quality of questions and answers from Stack Overflow. The proliferation of technical questions and answers on Q&A websites such as Stack Overflow means there is more information available than ever. However, the ease of publishing such information also tends to mean the quality varies significantly. The job of moderating Stack Overflow is left to the community. Stack Overflow performs some basic quality analysis, but this is an area where improvement would have many benefits to not only Stack Overflow, but many other domains where the quality of text is important.