amaye15 / Stack-Overflow-Zero-Shot-Classification

Automatic Stack Overflow Question Classifier

Important

All credit goes to huggingface user MoritzLaurer as his model is the basis for this project.

Introduction

The Automatic Stack Overflow Question Classifier harnesses the latest advancements in artificial intelligence to systematically categorize questions on Stack Overflow. Its primary goal is to streamline the process of sorting queries, enhancing navigability, and improving the overall user experience on the platform.

About the Project

This initiative takes advantage of the DeBERTa V3 model's capabilities in zero-shot classification. By doing so, it aims to revolutionize how questions are organized on Stack Overflow. Instead of relying on manual categorization, which can be time-consuming and inconsistent, this project introduces an automated, AI-driven approach for more precise and efficient question sorting.

Code and Repository

Access the complete source code and project details on GitHub: Stack Overflow Question Classifier Repository .

Streamlit App

Access our live classifier here . This interactive web application demonstrates the model's capabilities in real-time.

Model

Learn more about the DeBERTa V3 model and its adaptation for this project on Hugging Face: DeBERTa V3 on Hugging Face .

Dataset

The dataset, curated specifically for this project, can be found here: Stack Overflow Zero-Shot Classification Dataset . It encompasses a wide range of Stack Overflow questions, providing a comprehensive base for model training and testing.