Towards more accurate content categorization of API discussions
Bo Zhou, Xin Xia, David Lo, Cong Tian, Xinyu Wang · 2014
Nowadays, software developers often discuss the usage of various APIs in online forums. Automatically assigning pre-defined semantic categorizes to API discussions in these forums could help manage the data in online forums, and assist developers to search for useful information. We refer to this process as content categorization of API discussions. To solve this problem, Hou and Mo proposed the usage of naive Bayes multinomial, which is an effective classification algorithm.