Year: 2025
Type: article
Abstract: The growing use of advanced text generation models like ChatGPT has transformed content creation while creating challenges in identifying whether text is authored by humans or AI.This project focuses on building a machine learning model that can accurately distinguish between the two.It analyzes linguistic features such as structure, flow, vocabulary usage, and semantic patterns to capture subtle variations.Supervised learning methods, including neural networks and random forests, are applied on datasets containing both humanwritten and AI-generated texts.The goal is to ensure authenticity and transparency in domains like education, media, and online platforms.
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4413911892