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Deep Learning Based Sentiment Analysis of COVID-19 Tweets via Resampling and Label Analysis

Computer Systems Science & Engineering 2023年第10期47卷 575-591页

作者： Mamoona Humayun Danish Javed Nz Jhanjhi maram Fahaad Almufareh Saleh Naif Almuayqil Department of Information Systems College of Computer and Information SciencesJouf UniversitySakakah72311Saudi Arabia School of Computer Science SCSTaylor’s UniversitySubang Jaya47500SelangorMalaysia

Twitter has emerged as a platform that produces new data every day through its users which can be utilized for various *** express their unique ideas and views onmultiple topics thus providing vast *** analysis is critical from the corporate and political perspectives as it can impact *** the proliferation of COVID-19,it has become an important challenge to detect the sentiment of COVID-19-related tweets so that people’s opinions can be *** purpose of this research is to detect the sentiment of people regarding this problem with limited data as it can be challenging considering the various textual characteristics that must be ***,this research presents a deep learning-based model that utilizes the positives of random minority oversampling combined with class label analysis to achieve the best results for sentiment *** research specifically focuses on utilizing class label analysis to deal with the multiclass problem by combining the class labels with a similar overall *** can be particularly helpful when dealing with smaller ***,our proposed model integrates various preprocessing steps with random minority oversampling and various deep learning algorithms including standard deep learning and bi-directional deep learning *** research explores several algorithms and their impact on sentiment analysis tasks and concludes that bidirectional neural networks do not provide any advantage over standard neural networks as standard Neural Networks provide slightly better results than their bidirectional *** experimental results validate that our model offers excellent results with a validation accuracy of 92.5%and an F1 measure of 0.92.

关键词： Bi-directional deep learning resampling random minority oversampling sentiment analysis class label analysis

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Exploring the factors influencing nurses' work motivation during the COVID-19 pandemic in King Faisal Hospital in Makkah al-Mukarramah, Saudi Arabia

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Nursing Communications 2022年第1期6卷 148-155页

作者： Albandre Alenezi Mari Almutairi Mohammed Saleh Alshmemri maram Taher Alghabbashi Hala Yehia Faculty of Nursing Umm Al-Qura UniversityMakkah 24382Saudi Arabia Ministry of health The Directorate of Health affairs in Northern ProvinceAr a r 91471Saudi Arabia

Background:At this time of severe budgetary constraints and worldwide nursing shortages,the nursing profession is already facing challenges in keeping its professionals motivated to work during the COVID-19 *** study explores the factors influencing nurses’work motivation during the COVID-19 pandemic in Saudi *** s:A descriptive quantitative cross-sectional study was conducted at King Faisal Hospital in Makkah al-Mukarramah,Saudi Arabia.A convenience sample of 184 nurses participated in the *** electronic self-administrative questionnaire in the English language was used to collect *** comprises two parts:demographic data and the Multidimensional Work Motivation Scale(MWMS)using a 7-point Likert *** of variance(ANOVA)and t-tests were utilized to identify the differences in MWMS scores among participants’***:The study found that the overall mean score for the MWMS scale accounted for M=81.32,SD=18.66,with the highest mean score reported for interjected regulation(M=20.19,SD=5.59).Moreover,the results revealed that 62%of the participants attained an average level on the overall *** addition,the ANOVA and t-test showed a significant overall effect of the duration of nurses’work experience,the unit of care,the number of working hours per week and salary on nurses’work motivation during COVID-19 at P<***:The study’s findings suggest that hospital administrators and nursing managers should pay careful attention to nurses’work motivation and related factors to increase nurses’quality performance,retention and satisfaction.

关键词： nurses work satisfaction motivation COVID-19 Saudi Arabia

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