s2e-lab/BERT-Based-GitHub-Issue-Classification
Source code for the paper titled 'BERT-Based GitHub Issue Report Classification'.
This project helps software developers automatically categorize GitHub issue reports, saving time and reducing errors in issue management. You provide raw GitHub issue text, and the system outputs labels like 'question', 'bug', or 'enhancement'. This is ideal for project maintainers and development team leads managing open-source projects or large codebases.
No commits in the last 6 months.
Use this if you need to quickly and consistently classify incoming GitHub issues without manual effort, improving your team's issue triage and prioritization.
Not ideal if your issue tracking is not on GitHub or if you require a different set of classification labels beyond questions, bugs, and enhancements.
Stars
8
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Jul 09, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/s2e-lab/BERT-Based-GitHub-Issue-Classification"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
castorini/hedwig
PyTorch deep learning models for document classification
AnubhavGupta3377/Text-Classification-Models-Pytorch
Implementation of State-of-the-art Text Classification Models in Pytorch
inspirehep/magpie
Deep neural network framework for multi-label text classification
kk7nc/Text_Classification
Text Classification Algorithms: A Survey
InseeFrLab/torchTextClassifiers
A unified framework for text classification in PyTorch.