Intelligent text similarity assessment using Roberta with integrated chaotic perturbation optimization techniques

Intelligent text similarity assessment using Roberta with integrated chaotic perturbation optimization techniques

Abstract Precisely evaluating text similarity remains a fundamental challenge in Natural Language Processing (NLP), with widespread applications in plagiarism detection, information retrieval, semantic analysis, and recommendation systems. Traditional approaches often suffer from overfitting, local...

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Bibliographic Details
Main Authors: Esraa Hassan, Amira Samy Talaat, M. A. Elsabagh
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:Journal of Big Data
Subjects:
Intelligent Text Similarity
RoBERTa
Chaotic perturbation
Optimization techniques
Intelligent systems
Machine learning system
Online Access:https://doi.org/10.1186/s40537-025-01233-3
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https://doi.org/10.1186/s40537-025-01233-3

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