Arabic Educational Neural Network Chatbot

Chatbots (machine-based conversational systems) have grown in popularity in recent years. Chatbots powered by artificial intelligence (AI) are sophisticated technologies that replicate human communication in a range of natural languages. A chatbot’s primary purpose is to interpret user inquiries and...

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Main Author: A. Alazzam, Bayan (author)
Other Authors: Alkhatib, Manar (author), Shaalan, Khaled (author)
Published: 2023
Subjects:
Online Access:https://bspace.buid.ac.ae/handle/1234/3004
https://doi.org/10.18576/isl/120654.
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author A. Alazzam, Bayan
author2 Alkhatib, Manar
Shaalan, Khaled
author2_role author
author
author_facet A. Alazzam, Bayan
Alkhatib, Manar
Shaalan, Khaled
author_role author
dc.creator.none.fl_str_mv A. Alazzam, Bayan
Alkhatib, Manar
Shaalan, Khaled
dc.date.none.fl_str_mv 2023
2025-05-13T14:59:54Z
2025-05-13T14:59:54Z
dc.identifier.none.fl_str_mv “Arabic Educational Neural Network Chatbot” (2023) Information Sciences Letters, 12(6), pp. 2579–2589.
2090-9551, 2090-9551
https://bspace.buid.ac.ae/handle/1234/3004
https://doi.org/10.18576/isl/120654.
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv Information Sciences Letters An International Journal
dc.relation.none.fl_str_mv Information Sciences Lettersv12 n6 (20230601): 2579-2589
dc.subject.none.fl_str_mv Chatbot; Arabic Language; Artificial intelligent; Neural network.
dc.title.none.fl_str_mv Arabic Educational Neural Network Chatbot
dc.type.none.fl_str_mv Article
description Chatbots (machine-based conversational systems) have grown in popularity in recent years. Chatbots powered by artificial intelligence (AI) are sophisticated technologies that replicate human communication in a range of natural languages. A chatbot’s primary purpose is to interpret user inquiries and give relevant, contextual responses. Chatbot success has been extensively reported in a number of widely spoken languages; nonetheless, chatbots have not yet reached the predicted degree of success in Arabic. In recent years, several academics have worked to solve the challenges of creating Arabic chatbots. Furthermore, the development of Arabic chatbots is critical to our attempts to increase the use of the language in academic contexts. Our objective is to install and create an Arabic chatbot that will help the Arabic language in the area of education. To begin implementing the chabot, we collected datasets from Arabic educational websites and had to prepare these data using the NLP methods. We then used this data to train the system using a neural network model to create an Arabic neural network chabot. Furthermore, we found relevant research, conducted earlier investigations, and compared their findings by searching Google scholar and looking through the linked references. Data was gathered and saved in a json file. Finally, we programmed the chabot and the models in Python. As a consequence, an Arabic chatbot answers all questions about educational regulations in the United Arab Emirates.
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identifier_str_mv “Arabic Educational Neural Network Chatbot” (2023) Information Sciences Letters, 12(6), pp. 2579–2589.
2090-9551, 2090-9551
language_invalid_str_mv en
network_acronym_str budr
network_name_str The British University in Dubai repository
oai_identifier_str oai:bspace.buid.ac.ae:1234/3004
publishDate 2023
publisher.none.fl_str_mv Information Sciences Letters An International Journal
repository.mail.fl_str_mv
repository.name.fl_str_mv
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spelling Arabic Educational Neural Network ChatbotA. Alazzam, BayanAlkhatib, ManarShaalan, KhaledChatbot; Arabic Language; Artificial intelligent; Neural network.Chatbots (machine-based conversational systems) have grown in popularity in recent years. Chatbots powered by artificial intelligence (AI) are sophisticated technologies that replicate human communication in a range of natural languages. A chatbot’s primary purpose is to interpret user inquiries and give relevant, contextual responses. Chatbot success has been extensively reported in a number of widely spoken languages; nonetheless, chatbots have not yet reached the predicted degree of success in Arabic. In recent years, several academics have worked to solve the challenges of creating Arabic chatbots. Furthermore, the development of Arabic chatbots is critical to our attempts to increase the use of the language in academic contexts. Our objective is to install and create an Arabic chatbot that will help the Arabic language in the area of education. To begin implementing the chabot, we collected datasets from Arabic educational websites and had to prepare these data using the NLP methods. We then used this data to train the system using a neural network model to create an Arabic neural network chabot. Furthermore, we found relevant research, conducted earlier investigations, and compared their findings by searching Google scholar and looking through the linked references. Data was gathered and saved in a json file. Finally, we programmed the chabot and the models in Python. As a consequence, an Arabic chatbot answers all questions about educational regulations in the United Arab Emirates.Information Sciences Letters An International Journal2025-05-13T14:59:54Z2025-05-13T14:59:54Z2023Article“Arabic Educational Neural Network Chatbot” (2023) Information Sciences Letters, 12(6), pp. 2579–2589.2090-9551, 2090-9551https://bspace.buid.ac.ae/handle/1234/3004https://doi.org/10.18576/isl/120654.enInformation Sciences Lettersv12 n6 (20230601): 2579-2589oai:bspace.buid.ac.ae:1234/30042025-05-13T15:03:34Z
spellingShingle Arabic Educational Neural Network Chatbot
A. Alazzam, Bayan
Chatbot; Arabic Language; Artificial intelligent; Neural network.
title Arabic Educational Neural Network Chatbot
title_full Arabic Educational Neural Network Chatbot
title_fullStr Arabic Educational Neural Network Chatbot
title_full_unstemmed Arabic Educational Neural Network Chatbot
title_short Arabic Educational Neural Network Chatbot
title_sort Arabic Educational Neural Network Chatbot
topic Chatbot; Arabic Language; Artificial intelligent; Neural network.
url https://bspace.buid.ac.ae/handle/1234/3004
https://doi.org/10.18576/isl/120654.