Tag Stack: Automated System for Predicting Ta...

Tag Stack: Automated System for Predicting Tags in Stack Overflow

Author Name : Prof. Uma Karanje, Aditya Sonawane, Abhishek Tormal, Shubham Wakchaure, Ameya Shinde

ABSTRACT

Stack Overflow is one of the popular online media for the programmers to share their knowledge and experience. Developers seeks help from online communities such as Stack Overflow. The objective of our research is to ease the tagging of questions on Stack Overflow. This work proposes TagStack system, a machine learning and feedback-based framework for predicting tags on Stack Overflow. We perform experiment on real world and publicly available dataset, and results shows that TagStack system is effective in predicting tags on Stack Overflow.

Keywords—Tag; Automate; Stack Overflow; Q&A; Recommendation; Cosine Similarity