Arabic Educational Neural Network Chatbot
Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
Information Sciences Letters
An International Journal
Abstract
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.
Description
Keywords
Chatbot; Arabic Language; Artificial intelligent; Neural network.
Citation
“Arabic Educational Neural Network Chatbot” (2023) Information Sciences Letters, 12(6), pp. 2579–2589.