An Intelligent System for Automatic Classification of Academic Titles Using AI and NLP
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Date
2025-06-15
Journal Title
Journal ISSN
Volume Title
Publisher
Mohamed Boudiaf University of M'sila
Abstract
This project aims to propose a system for classifying book and thesis titles using Artificial
Intelligence (AI) and Natural Language Processing (NLP). It employs the DeBERTaV3 model,
trained on a multi-category academic dataset, and supports multilingual input through OCR,
language detection (langdetect), and automatic translation (googletrans). The system achieved
high accuracy in classifying titles into fields such as Economic Sciences, Law, and Technical
Sciences. Developed in Python, it integrates libraries such as Transformers, Pandas, PyTorch, and
PySide6, with results stored in an Excel database.
Description
Keywords
AI, Title Classification, Multilingual Processing, DeBERTaV3