Enhancing Arabic Offensive Tweet Classification: An Ensemble Approach Integrating AraBERT, Neural Networks, and LSTM Models

Enhancing Arabic Offensive Tweet Classification: An Ensemble Approach Integrating AraBERT, Neural Networks, and LSTM Models

This thesis addresses the crucial research problem of accurate detection and moderation of offensive language in Arabic text, considering the intricacies posed by the language's complex morphology, dialectal variations, orthographic ambiguity, orthographic noise, limited linguistic resources, a...

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Bibliographic Details
Main Author: WAHDAN, AHLAM MOHAMMAD (author)
Published: 2023
Subjects:
Arabic offensive classification, preprocessing techniques, AraBERT, AraBERT preprocessing, ensemble methodology, deep learning, neural networks, LSTM, natural language processing, emoji interpretation
Online Access:https://bspace.buid.ac.ae/handle/1234/2537
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https://bspace.buid.ac.ae/handle/1234/2537

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