A Hybrid Auto-tagging System for StackOverflow Forum Questions

TitleA Hybrid Auto-tagging System for StackOverflow Forum Questions
Publication TypeConference Paper
Year of Publication2015
AuthorsRekha SV, Venkatapathy S, Divya N, Sivakumar BP
Conference NameInternational Conference on Interdisciplinary Advances in Applied Computing
Abstract

StackOverflow (SO) forum is a widely used platform for people to interact on topics related to Computer Programming languages. With more than three lakh users and ten lakh questions, StackOverflow is emerging as the biggest QA forum for programmers. The questions on StackOverflow cover a wide range of topics and are categorized using appropriate tags. Currently the tags are entered manually by users depending on their judgment of the tags. Since there are a huge number of tags, it is often a cumbersome process to search the correct tags. It may be useful to have an auto-tagging system that suggests tags to users depending on the content of the question.
In this paper we present a hybrid auto-tagging system for SO. The auto-tagging system includes a) programming language detection system b) SVM based question classification system. This system will suggest tags once a user enters a question.

URLhttp://www.researchgate.net/publication/266850100_A_Hybrid_Auto-tagging_System_for_StackOverflow_Forum_Questions
DOI10.1016/j.procs.2015.02.074