A systematic review of Arabic text classification: areas, applications, and future directions
Text classification pertains to the automated procedure of assigning predefined labels or
categories to textual data. A comprehensive review of the existing literature on Arabic text …
categories to textual data. A comprehensive review of the existing literature on Arabic text …
Deciphering Arabic question: a dedicated survey on Arabic question analysis methods, challenges, limitations and future pathways
This survey reviews different research on question analysis, including other comparative
studies of question analysis approaches and an evaluation of the questions by different NLP …
studies of question analysis approaches and an evaluation of the questions by different NLP …
Altibbivec: a word embedding model for medical and health applications in the Arabic language
In recent years, the utilization of natural language processing (NLP) and Machine Learning
(ML) techniques in clinical decision support systems have shown their ability in improving …
(ML) techniques in clinical decision support systems have shown their ability in improving …
[HTML][HTML] DeBERTa-BiLSTM: A multi-label classification model of Arabic medical questions using pre-trained models and deep learning
BS Al-Smadi - Computers in Biology and Medicine, 2024 - Elsevier
It is wise to investigate past and present epidemics in the hopes of profiting from them and
being better prepared for future ones. COVID-19 is one of the most recent and well-known …
being better prepared for future ones. COVID-19 is one of the most recent and well-known …
Specialty detection in the context of telemedicine in a highly imbalanced multi-class distribution
The Covid-19 pandemic has led to an increase in the awareness of and demand for
telemedicine services, resulting in a need for automating the process and relying on …
telemedicine services, resulting in a need for automating the process and relying on …
SEWAR: A corpus-based N-gram approach for extracting semantically-related words from Arabic medical corpus
RH AlMahmoud, BH Hammo - Expert Systems with Applications, 2024 - Elsevier
Automatic aggregation of similar words into semantically related groups (or clusters) is of
interest to many natural language processing (NLP) applications. Extracting semantically …
interest to many natural language processing (NLP) applications. Extracting semantically …
Text Classification of Patient Experience Comments in Saudi Dialect Using Deep Learning Techniques
NZ Alhazzani, IM Al-Turaiki, SA Alkhodair - Applied Sciences, 2023 - mdpi.com
Improving the quality of healthcare services is of the utmost importance in healthcare
systems. Patient experience is a key aspect that should be gauged and monitored …
systems. Patient experience is a key aspect that should be gauged and monitored …
A comprehensive survey of techniques for develo** an Arabic question answering system
The question-answering system (QAS) aims to produce a response to a query using
information from a text corpus. Arabic is a complex language. However, it has more than 450 …
information from a text corpus. Arabic is a complex language. However, it has more than 450 …
Automatic symptoms identification from a massive volume of unstructured medical consultations using deep neural and BERT models
Automatic symptom identification plays a crucial role in assisting doctors during the
diagnosis process in Telemedicine. In general, physicians spend considerable time on …
diagnosis process in Telemedicine. In general, physicians spend considerable time on …
[HTML][HTML] Optimizing Large Language Models for Arabic Healthcare Communication: A Focus on Patient-Centered NLP Applications
R Mohammad, OS Alkhnbashi… - Big Data and Cognitive …, 2024 - mdpi.com
Recent studies have highlighted the growing integration of Natural Language Processing
(NLP) techniques and Large Language Models (LLMs) in healthcare. These technologies …
(NLP) techniques and Large Language Models (LLMs) in healthcare. These technologies …