A customized deep learning-based framework for classification and analysis of social media posts to enhance the Hajj and Umrah services-Reference-Cited by-同舟云学术

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A customized deep learning-based framework for classification and analysis of social media posts to enhance the Hajj and Umrah services

Published:2024-03 Issue: Volume:238 Page:122204
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Khan Murtaza Ali^ORCID,AlGhamdi Mohammed

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference29 articles.

1. Towards a mobile and context-aware framework from crowdsourced data;Ahmad,2014

2. Multiple input modality mobile application for pilgrims;Al-Aidaroos,2014

3. Development of mobile dua and zikr for hajj (MDZ4h);Al-Aidaroos;TELKOMNIKA Indonesian Journal of Electrical Engineering,2013

4. Social media monitoring for enhancing hajj pilgrimage experience;Albishre,2022

5. Intelligent analysis of arabic tweets for detection of suspicious messages;AlGhamdi;Arabian Journal for Science and Engineering,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Managing Fourth-Grade Elementary School Students' Learning Motivation through Scrapbook Media-Based QR Code in Social Studies;EURASIAN J EDUC RES;2023

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