GordonAI

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.

from transformers import pipeline

# Load the pipeline for text classification
classifier = pipeline("text-classification", model="VinMir/GordonAI-fact_checking")

# Use the model to classify text
result = classifier("The Earth is flat.")
print(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.