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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Arabic sentiment analysis about online learning to mitigate covid-19
Manal Mostafa Ali
Journal of Intelligent Systems (2021) Vol. 30, Iss. 1, pp. 524-540
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

User satisfaction with Arabic COVID-19 apps: Sentiment analysis of users’ reviews using machine learning techniques
Mina Ramzy, Bahaa Ibrahim
Information Processing & Management (2024) Vol. 61, Iss. 3, pp. 103644-103644
Closed Access | Times Cited: 12
Sentiment Analysis using various Machine Learning and Deep Learning Techniques
Uma Rani, Anitha Julian, J. Deepa
Journal of the Nigerian Society of Physical Sciences (2021), pp. 385-394
Open Access | Times Cited: 43
Self-Attention-Based Bi-LSTM Model for Sentiment Analysis on Tweets about Distance Learning in Higher Education
Imane Lasri, Anouar Riadsolh, Mourad ElBelkacemi
International Journal of Emerging Technologies in Learning (iJET) (2023) Vol. 18, Iss. 12, pp. 119-141
Open Access | Times Cited: 19
Natural Language Processing for Arabic Sentiment Analysis: A Systematic Literature Review
Souha Al Katat, Chamseddine Zaki, Hussein Hazimeh, et al.
IEEE Transactions on Big Data (2024) Vol. 10, Iss. 5, pp. 576-594
Closed Access | Times Cited: 3
Severe acute respiratory syndrome Coronavirus-2 GenoAnalyzer and mutagenic anomaly detector using FCMFI and NSCE
Shivendra Dubey, Dinesh Kumar Verma, Mahesh Kumar
International Journal of Biological Macromolecules (2023) Vol. 258, pp. 129051-129051
Closed Access | Times Cited: 9
A hybrid machine learning model for sentiment analysis and satisfaction assessment with Turkish universities using Twitter data
Abdulfattah E. Ba Alawi, Ferhat Bozkurt
Decision Analytics Journal (2024) Vol. 11, pp. 100473-100473
Open Access | Times Cited: 2
Sentiment Analysis of Students’ Feedback on E-Learning Using a Hybrid Fuzzy Model
Maryam Alzaid, Fethi Fkih
Applied Sciences (2023) Vol. 13, Iss. 23, pp. 12956-12956
Open Access | Times Cited: 7
Twitter sentiment analysis: An Arabic text mining approach based on COVID-19
Saleh Albahli
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 11
A Practical Exploration of Constructive English Learning Platform Informatization Based on RBF Algorithm
Ning Tang, Bing Li, Sang‐Bing Tsai
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-10
Open Access | Times Cited: 15
Analysis of sentiment in the European Central Bank’s social media activity during the Covid-19 pandemic and Ukraine War: A navigating crisis communication
Tănase Tasențe, Maria Alina Carataș, Tariq Tawfeeq Yousif Alabdullah
Doxa Comunicación Revista interdisciplinar de estudios de comunicación y ciencias sociales (2024)
Open Access | Times Cited: 1
Arabic Sentiment Analysis for ChatGPT Using Machine Learning Classification Algorithms: A Hyperparameter Optimization Technique
Ahmad Nasayreh, Rabia Emhamed Al Mamlook, Ghassan Samara, et al.
ACM Transactions on Asian and Low-Resource Language Information Processing (2024) Vol. 23, Iss. 3, pp. 1-19
Closed Access | Times Cited: 1
Customers' sentiment on food delivery services: An Arabic text mining approach
Dheya Mustafa, Safaa M. Khabour, Ahmed S. Shatnawi
International Journal of Information Management Data Insights (2024) Vol. 4, Iss. 2, pp. 100299-100299
Open Access | Times Cited: 1
A deep learning based approach for classifying tweets related to online learning during the Covid-19 pandemic
K. I. Senadhira, R. A. H. M. Rupasingha, Banage T. G. S. Kumara
Education and Information Technologies (2023) Vol. 29, Iss. 7, pp. 7707-7736
Closed Access | Times Cited: 3
Post Covid-19 Sentiment Analysis of Success of Online Learning: A Case Study of India
Sonal Daulatkar, Apurva Deore
2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) (2022), pp. 460-465
Closed Access | Times Cited: 5
Emotions during the Pandemic’s First Wave: The Case of Greek Tweets
Yannis Skarpelos, Sophia Messini, Elina Roinioti, et al.
(2023)
Open Access | Times Cited: 2
Twitter sentiment analysis to understand students' perceptions about online learning during the Covid'19
Feras Al‐Obeidat, Mariam Ishaq, Ahmed Shuhaiber, et al.
(2022) Vol. 178, pp. 1-7
Closed Access | Times Cited: 4
Multifaceted Sentiment Detection System (MSDS) to Avoid Dropout in Virtual Learning Environment using Multi-class Classifiers
Ananthi Claral Mary. T, P. J. Arul Leena Rose
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 4
Open Access | Times Cited: 2
Investigating Gender-Specific Discourse about Online Learning during COVID-19 on Twitter using Sentiment Analysis, Subjectivity Analysis, and Toxicity Analysis
Nirmalya Thakur, Shuqi Cui, Karam Khanna, et al.
(2023)
Open Access | Times Cited: 2
Sentiment Analysis in Poems in Misurata Sub-dialect
Azza Abugharsa
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY (2021) Vol. 21, pp. 103-114
Open Access | Times Cited: 5
Sentiment Analysis on Twitter Data for Depression Detection
P. V. Sankar, Naveen Palanichamy, Kok-Why Ng
Journal of Logistics Informatics and Service Science (2024) Vol. 11, Iss. 3
Open Access
Intelligent Text Sentiment Analysis of Emotional Beauty in the English Translation: Based on TB-LSTM Algorithm
Xin Li
Journal of Artificial Intelligence and Technology (2024)
Open Access
Multi-labeled Dataset of Arabic COVID-19 Tweets for Topic-Based Sentiment Classifications
Fatima Alderazi, Abdulelah Algosaibi, Mohammed Al-Abdullatif
(2022) Vol. 158, pp. 1-8
Closed Access | Times Cited: 3
Sentiment Analysis of Opinions over Time Toward Saudi Women’s Sports
Norah J. Almateg, Sarah M. BinQasim, Jawaher N. Alshahrani, et al.
(2022), pp. 247-259
Closed Access | Times Cited: 3
Sentiment Analysis of Covid-19 Tweets by Supervised Machine Learning Models
Aina Binti, Mohd Shaiful Nizam Mamat Nasir, Palanichamy Naveen
Journal of System and Management Sciences (2022)
Open Access | Times Cited: 3
Emotions during the Pandemic’s First Wave: The Case of Greek Tweets
Yannis Skarpelos, Sophia Messini, Elina Roinioti, et al.
Digital (2024) Vol. 4, Iss. 1, pp. 126-151
Open Access
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