FKarl/short-text-classification
This repository contains code to reproduce the results in our paper "Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets".
This project helps researchers and data scientists evaluate different machine learning models for classifying short pieces of text. You input various short text datasets and different model names, and it outputs performance results, allowing you to compare which models work best for specific types of short text classification tasks. It's designed for someone studying or applying short text categorization.
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Use this if you need to benchmark the performance of various short text classification models, especially Transformer-based ones, on existing datasets or your own short text data.
Not ideal if you're looking for a simple, out-of-the-box application for immediate production use without any code or data preparation.
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Python
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MIT
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Last pushed
Nov 30, 2022
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