GordonAI is an AI package designed for sentiment analysis, emotion detection, and fact-checking classification. The models are pre-trained on three languages: Italian, English, and Spanish.
Features
This model has been trained specifically for fact-checking tasks. It classifies text into one of four categories: Disinformation, Hoax, FakeNews, or TrueNews.
Based on the pre-trained mdeberta-v3-base model from Microsoft, it has been fine-tuned on a specialized fact-checking dataset to accurately identify whether a statement is true or false, and to detect misleading or fabricated information.
Usage
You can use the GordonAI to classify texts helping to identify whether a statement is reliable or misleading.
python
1from transformers import pipeline
23# Load the pipeline for text classification4classifier = pipeline("text-classification", model="VinMir/GordonAI-fact_checking")56# Use the model to classify text7result = classifier("The Earth is flat.")8print(result)
Requirements
Python >= 3.9
transformers
torch
You can install the dependencies using:
pip install transformers torch
Limitations and bias
Please consult the original DeBERTa paper and literature on different NLI datasets for potential biases.
Acknowledgments
This package is part of the work for my doctoral thesis. I would like to thank NeoData and Università di Catania for their valuable contributions to the development of this project.
