[HTML][HTML] Predicting student performance using machine learning to enhance the quality assurance of online training via Maharat platform
MN Alsubaie - Alexandria Engineering Journal, 2023 - Elsevier
There are multiple entities responsible for online training programs via the Taif Maharat
platform at the university. There is a variation in objectives, content, trainers' efficiency …
platform at the university. There is a variation in objectives, content, trainers' efficiency …
A comprehensive review on transformers models for text classification
The rapid progress in deep learning has propelled transformer-based models to the
forefront, establishing them as leading solutions for a multiple NLP tasks. These tasks span …
forefront, establishing them as leading solutions for a multiple NLP tasks. These tasks span …
Cognitive-inspired deep learning models for aspect-based sentiment analysis: A retrospective overview and bibliometric analysis
As cognitive-inspired computation approaches, deep neural networks or deep learning (DL)
models have played important roles in allowing machines to reach human-like …
models have played important roles in allowing machines to reach human-like …
MTL-AraBERT: an enhanced multi-task learning model for Arabic aspect-based sentiment analysis
Aspect-based sentiment analysis (ABSA) is a fine-grained type of sentiment analysis; it
works on an aspect level. It mainly focuses on extracting aspect terms from text or reviews …
works on an aspect level. It mainly focuses on extracting aspect terms from text or reviews …
Multi-Task Learning Model with Data Augmentation for Arabic Aspect-Based Sentiment Analysis.
AS Fadel, OA Abulnaja… - Computers, Materials & …, 2023 - search.ebscohost.com
Aspect-based sentiment analysis (ABSA) is a fine-grained process. Its fundamental subtasks
are aspect term extraction (ATE) and aspect polarity classification (APC), and these subtasks …
are aspect term extraction (ATE) and aspect polarity classification (APC), and these subtasks …