# Multi-label Classification for Automatic Tag Prediction in the Context of Programming Challenges

arXiv: https://arxiv.org/abs/1911.12224 · HTML: https://mlsanity.com/paper/1911.12224/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 Nov 2019.

## Built on by (most cited first, 1 of 1)

- [Stacking of Hyperparameter Tuned Models for Tagging Coding Problems](https://mlsanity.com/paper/2306.10077/) (2023)

## Abstract (arXiv)

One of the best ways for developers to test and improve their skills in a fun and challenging way are programming challenges, offered by a plethora of websites. For the inexperienced ones, some of the problems might appear too challenging, requiring some suggestions to implement a solution. On the other hand, tagging problems can be a tedious task for problem creators. In this paper, we focus on automating the task of tagging a programming challenge description using machine and deep learning methods. We observe that the deep learning methods implemented outperform well-known IR approaches such as tf-idf, thus providing a starting point for further research on the task.