Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Twitter Sentiment Analysis towards COVID-19 Vaccines in the Philippines Using Naïve Bayes
Charlyn Nayve Villavicencio, Julio Jerison E. Macrohon, X. Alphonse Inbaraj, et al.
Information (2021) Vol. 12, Iss. 5, pp. 204-204
Open Access | Times Cited: 141

Showing 1-25 of 141 citing articles:

Twitter sentiment analysis using ensemble based deep learning model towards COVID-19 in India and European countries
D. Sunitha, Raj Kumar Patra, Nirmal Varghese Babu, et al.
Pattern Recognition Letters (2022) Vol. 158, pp. 164-170
Open Access | Times Cited: 67
Naive Bayes classifier – An ensemble procedure for recall and precision enrichment
Or Peretz, Michal Koren, Oded Koren
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108972-108972
Open Access | Times Cited: 18
Deep Learning-Based Sentiment Analysis of COVID-19 Vaccination Responses from Twitter Data
Kazi Nabiul Alam, Md Shakib Khan, Abdur Rab Dhruba, et al.
Computational and Mathematical Methods in Medicine (2021) Vol. 2021, pp. 1-15
Open Access | Times Cited: 97
COVID-19 Vaccination Awareness and Aftermath: Public Sentiment Analysis on Twitter Data and Vaccinated Population Prediction in the USA
Naw Safrin Sattar, Shaikh Arifuzzaman
Applied Sciences (2021) Vol. 11, Iss. 13, pp. 6128-6128
Open Access | Times Cited: 87
Twitter sentiment analysis from Iran about COVID 19 vaccine
Zahra Bokaee Nezhad, Mohammad Ali Deihimi
Diabetes & Metabolic Syndrome Clinical Research & Reviews (2021) Vol. 16, Iss. 1, pp. 102367-102367
Open Access | Times Cited: 80
COVID-19 Prediction Applying Supervised Machine Learning Algorithms with Comparative Analysis Using WEKA
Charlyn Nayve Villavicencio, Julio Jerison E. Macrohon, X. Alphonse Inbaraj, et al.
Algorithms (2021) Vol. 14, Iss. 7, pp. 201-201
Open Access | Times Cited: 62
TSA-CNN-AOA: Twitter sentiment analysis using CNN optimized via arithmetic optimization algorithm
Serpil Aslan, Soner Kızıloluk, Eser Sert
Neural Computing and Applications (2023) Vol. 35, Iss. 14, pp. 10311-10328
Open Access | Times Cited: 35
Sentiment analysis for customer review: Case study of Traveloka
Ziedhan Alifio Diekson, Muhammad Rivyan Bagas Prakoso, Muhammad Savio Qalby Putra, et al.
Procedia Computer Science (2023) Vol. 216, pp. 682-690
Open Access | Times Cited: 34
Artificial Intelligence in Accounting and Finance: Challenges and Opportunities
Ziwei Yi, Xinwei Cao, Zuyan Chen, et al.
IEEE Access (2023) Vol. 11, pp. 129100-129123
Open Access | Times Cited: 25
A survey on sentiment analysis and its applications
Tamara Amjad Al-Qablan, Mohd Halim Mohd Noor, Mohammed Azmi Al‐Betar, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 29, pp. 21567-21601
Closed Access | Times Cited: 22
An Improvised Sentiment Analysis Model on Twitter Data Using Stochastic Gradient Descent (SGD) Optimization Algorithm in Stochastic Gate Neural Network (SGNN)
K. P. Vidyashree, A. B. Rajendra
SN Computer Science (2023) Vol. 4, Iss. 2
Open Access | Times Cited: 21
Analyzing the public sentiment on COVID-19 vaccination in social media: Bangladesh context
Md. Sabab Zulfiker, Nasrin Kabir, Al Amin Biswas, et al.
Array (2022) Vol. 15, pp. 100204-100204
Open Access | Times Cited: 28
Twitter sentiment analysis on Russia v/s Ukraine war
Aakash Aakash, Aakash Dev, Ankit Kemwal, et al.
AIP conference proceedings (2025) Vol. 3162, pp. 020013-020013
Closed Access
Graph-aware pre-trained language model for political sentiment analysis in Filipino social media
Jean Aristide Aquino, Di Jie Liew, Yung‐Chun Chang
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110317-110317
Closed Access
Exploring the Performance of Ensemble Machine Learning Classifiers for Sentiment Analysis of COVID-19 Tweets
Md. Mahbubar Rahman, Muhammad Nazrul Islam
Advances in intelligent systems and computing (2021), pp. 383-396
Closed Access | Times Cited: 36
A Semi-Supervised Approach to Sentiment Analysis of Tweets during the 2022 Philippine Presidential Election
Julio Jerison E. Macrohon, Charlyn Nayve Villavicencio, X. Alphonse Inbaraj, et al.
Information (2022) Vol. 13, Iss. 10, pp. 484-484
Open Access | Times Cited: 24
Applications of Social Media and Digital Technologies in COVID-19 Vaccination: Scoping Review
Shujie Zang, Xu Zhang, Yuting Xing, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e40057-e40057
Open Access | Times Cited: 13
Temporal analysis and opinion dynamics of COVID-19 vaccination tweets using diverse feature engineering techniques
Shoaib Ahmed, Dost Muhammad Khan, Saima Sadiq, et al.
PeerJ Computer Science (2023) Vol. 9, pp. e1190-e1190
Open Access | Times Cited: 10
Hidden emotional trends on social media regarding the Thailand–China high-speed railway project: a deep learning approach with ChatGPT integration
Manussawee Nokkaew, Kwankamol Nongpong, Tapanan Yeophantong, et al.
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Public Perception of SARS-CoV-2 Vaccinations on Social Media: Questionnaire and Sentiment Analysis
C Roe, Madison Lowe, Benjamin Williams, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 24, pp. 13028-13028
Open Access | Times Cited: 25
Development of a Machine Learning Based Web Application for Early Diagnosis of COVID-19 Based on Symptoms
Charlyn Nayve Villavicencio, Julio Jerison E. Macrohon, X. Alphonse Inbaraj, et al.
Diagnostics (2022) Vol. 12, Iss. 4, pp. 821-821
Open Access | Times Cited: 16
Naïve-Bayes family for sentiment analysis during COVID-19 pandemic and classification tweets
Murtadha B. Ressan, Rehab F. Hassan
Indonesian Journal of Electrical Engineering and Computer Science (2022) Vol. 28, Iss. 1, pp. 375-375
Open Access | Times Cited: 16
FinChain-BERT: A High-Accuracy Automatic Fraud Detection Model Based on NLP Methods for Financial Scenarios
Xinze Yang, Chunkai Zhang, Yizhi Sun, et al.
Information (2023) Vol. 14, Iss. 9, pp. 499-499
Open Access | Times Cited: 9
Analyzing the vaccination debate in social media data Pre- and Post-COVID-19 pandemic
Qingqing Chen, Andrew Crooks
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 110, pp. 102783-102783
Open Access | Times Cited: 15
A novel flexible feature extraction algorithm for Spanish tweet sentiment analysis based on the context of words
García-Díaz Pilar, Isabel Sánchez Berriel, Pontiel-Martín Diego, et al.
Expert Systems with Applications (2022) Vol. 212, pp. 118817-118817
Open Access | Times Cited: 15
Page 1 - Next Page

Scroll to top