Sentiment Analysis on COVID-19 Vaccine Tweets using Machine Learning and Deep Learning Algorithms

QR Code

Sentiment Analysis on COVID-19 Vaccine Tweets using Machine Learning and Deep Learning Algorithms

One of the main functions of NLP (Natural Language Processing) is to analyze a sentiment or opinion of the text considered. In this research the objective is to analyze the sentiment in the form of tweets towards the Covid-19 vaccination. In this study, the collected tweets are in the form of a data...

Full description

Bibliographic Details
Published in:	International Journal of Advanced Computer Science and Applications
Main Author:	Jain T.; Verma V.K.; Sharma A.K.; Saini B.; Purohit N.; Bhavika; Mahdin H.; Ahmad M.; Darman R.; Haw S.-C.; Shaharudin S.M.; Arshad M.S.
Format:	Article
Language:	English
Published:	Science and Information Organization 2023
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161091969&doi=10.14569%2fIJACSA.2023.0140504&partnerID=40&md5=ea5e4cf8c58f9ee9add8aaf97dff1979

Similar Items

A Sentiment Analysis Framework on COVID-19 in Major Cities of Malaysia based on Tweets using Machine Learning Classification Model
by: Aminuddin R.; Bistamam M.A.; Ibrahim S.; Abu Mangshor N.N.; Fesol S.F.A.; Wahab N.I.F.A.
Published: (2021)

Fake News Detection Regarding COVID-19 Tweets Using Machine Learning Approaches
by: Hussin M.H.; Mahmud Y.; Mohd Hanafiah N.I.; Azma Nasruddin Z.; Mohd Ariffin N.H.; Ince M.; Senel F.A.
Published: (2023)

Tweets Sentiment Analysis of Putin’s Participation at the G20 Summit in Indonesia
by: Hasanah S.A.; Firmansyah I.; Nugraha F.A.L.; Pravitasari A.A.; Sari E.N.; Herawan T.
Published: (2023)

Dataset on sentiment-based cryptocurrency-related news and tweets in English and Malay language
by: Mohamad Zamani N.A.; Kamaruddin N.; Yusof A.M.B.
Published: (2024)

Dataset on sentiment-based cryptocurrency-related news and tweets in English and Malay language
by: Zamani, et al.
Published: (2024)

An Approach to Automatic Garbage Detection Framework Designing using CNN
by: Sharma A.K.; Jain A.; Chaudhary D.; Tiwari S.; Mahdin H.; Baharum Z.; Shaharudin S.M.; Maskat R.; Arshad M.S.
Published: (2023)

Predicting customer sentiment: the fusion of deep learning and a fuzzy system for sentiment analysis of Arabic text
by: Ambreen S.; Iqbal M.; Asghar M.Z.; Mazhar T.; Khattak U.F.; Khan M.A.; Hamam H.
Published: (2024)

Predicting customer sentiment: the fusion of deep learning and a fuzzy system for sentiment analysis of Arabic text
by: Ambreen, et al.
Published: (2024)

Public Sentiment of Biodiversity Conservation Using Machine Learning Approach
by: Zamani F.; Halim S.A.; Mutalib S.; Yusoff S.B.
Published: (2023)

Applying four machine learning algorithms for employee future prediction
by: Dawd L.N.; Mostafa S.A.; Nawi R.M.; Mahdin H.; Kasim S.; Alkhayyat A.; Ahmad M.; Zainodin M.E.
Published: (2024)

Cloud failure prediction based on traditional machine learning and deep learning
by: Tengku Asmawi T.N.; Ismail A.; Shen J.
Published: (2022)

Climate Change Sentiment Analysis Using Lexicon, Machine Learning and Hybrid Approaches
by: Sham N.M.; Mohamed A.
Published: (2022)

LexDeep: Hybrid Lexicon and Deep Learning Sentiment Analysis Using Twitter for Unemployment-Related Discussions during COVID-19
by: Mohamed A.; Zain Z.M.; Shaiba H.; Alturki N.; Aldehim G.; Sakri S.; Yatin S.F.M.; Zain J.M.
Published: (2023)

Cloud-based bug tracking software defects analysis using deep learning
by: Hai T.; Zhou J.; Li N.; Jain S.K.; Agrawal S.; Dhaou I.B.
Published: (2022)

Tree-based Machine Learning and Deep Learning in Predicting Investor Intention to Public Private Partnership
by: Amin A.; Rahmawaty; Lautania M.F.; Masrom S.; Rahman R.A.
Published: (2023)

Deep Learning Model for Enhancing Automated Recycling Machine with Incentive Mechanisms
by: Tomari R.; Kadir A.A.; Zakaria W.N.W.; Das D.; Azni M.B.
Published: (2024)

Social Media Text Analysis on Public’s Sentiments of Covid-19 Booster Vaccines
by: Kristian Y.; Yesenia A.V.; Safina S.; Pravitasari A.A.; Sari E.N.; Herawan T.
Published: (2023)

Deep Reinforcement Learning-based resource allocation strategy for Energy Harvesting-Powered Cognitive Machine-to-Machine Networks
by: Xu Y.-H.; Tian Y.-B.; Searyoh P.K.; Yu G.; Yong Y.-T.
Published: (2020)

The Rise of Deep Learning in Cyber Security: Bibliometric Analysis of Deep Learning and Malware
by: Kamarudin N.K.; Firdaus A.; Osman M.Z.; Alanda A.; Erianda A.; Kasim S.; Ab Razak M.F.
Published: (2024)

Machine learning and IoT for smart parking models and approaches
by: Abilasha R.; Senthil Kumar A.V.; El Emary I.M.M.; Mishra N.; Talukdar V.; Latip R.; Bin Musirin I.; Sharma M.
Published: (2023)

ANN-based STATISTICAL DOWNSCALING OF CLIMATE VARIABLES FOR RAINFALL PREDICTION IN NEGERI SEMBILAN
by: Sudin V.K.; Shaharudin S.M.; Sulaiman N.A.F.; Zainuddin N.H.; Ismail S.A.; Mahdin H.
Published: (2024)

Development of machine learning algorithms in student performance classification based on online learning activities
by: Alias M.A.H.; Aziz M.A.A.; Hambali N.; Taib M.N.
Published: (2024)

Research on Deep Learning-based Semantic Segmentation Algorithm for UAV Images
by: Yan Q.; Cheng G.
Published: (2023)

Improving teaching and learning experience in engineering education using sentiment analysis techniques
by: Kaur W.; Balakrishnan V.; Singh B.
Published: (2020)

Detecting ADHD Subjects Using Machine Learning Algorithm
by: Mohd A.; Ali A.M.; Halim S.A.
Published: (2022)

Comparative Analysis of Machine Learning Algorithms Through Visualizations
by: Ismail M.H.; Razak T.R.; Noor N.M.; Aziz A.A.
Published: (2023)

AN EXPLORATORY SEQUENTIAL SENTIMENT ANALYSIS OF ONLINE LEARNING DURING THE MOVEMENT CONTROL ORDER IN MALAYSIA
by: Rahman N.A.; Zukarnain Z.A.; Zain N.A.M.; Yusof R.
Published: (2021)

Deep Learning Food Detection and Calories Counter
by: Ibrahim S.; Arif Aiman Wan Hasnan W.M.; Md Ghani N.A.; Fariza Abu Samah K.A.; Abu Mangshor N.N.; Ahmad Fadzil A.F.; Janor R.M.
Published: (2023)

Deep-learning optimization and environmental assessment of nanomaterial's boosted hydrogen and power generation system combined with SOFC
by: Hai T.; Dahan F.; Dhahad H.A.; Almojil S.F.; Alizadeh A.; sharma A.; Almohana A.I.; Alali A.F.
Published: (2024)

Development of a machine learning algorithm for fake news detection
by: Abdullah N.A.S.; Rusli N.I.A.; Yuslee N.S.
Published: (2024)

Deep-learning optimization and environmental assessment of nanomaterial's boosted hydrogen and power generation system combined with SOFC
by: Hai, et al.
Published: (2024)

New Optimized Adaptive Time Series IDS Classifier Algorithm: Beyond Deep Learning
by: Muda S.R.B.T.; Yusof M.H.M.; Alfawaz K.M.; Balfaqih M.; Alzahrani A.
Published: (2023)

A new real-time maximum power point tracking scheme for PV-BASED microgrid STABILITY using online DEEP ridge extreme learning machine algorithm
by: Satpathy, et al.
Published: (2023)

A new real-time maximum power point tracking scheme for PV-BASED microgrid STABILITY using online DEEP ridge extreme learning machine algorithm
by: Satpathy A.; Nayak N.; Hannon N.; Ali N.H.N.
Published: (2023)

Multi faces recognition using deep learning approach
by: Wen K.C.S.; Markom M.A.; Tan E.S.M.M.; Adom A.H.; Markom A.M.
Published: (2024)

Application of Deep Learning for Fig Fruit Detection in the Wild
by: Kamaruzaman A.; Farid M.; Izhar C.A.A.; Maruzuki M.; Ahmad S.; Habibi M.A.
Published: (2022)

Review on anomalous gait behavior detection using machine learning algorithms
by: Razak H.A.; Saleh M.A.M.; Tahir N.M.
Published: (2020)

Exploring public sentiments towards courier services in Malaysia through Twitter: a sentiment analysis approach
by: Ariff M.I.M.; Salim R.M.Z.R.; Azizan A.; Ahmad S.; Arshad N.I.; Abdullah M.N.
Published: (2024)

Machine learning prediction of video-based learning with technology acceptance model
by: Rahman R.A.; Masrom S.; Samad N.H.A.; Daud R.M.; Mutia E.
Published: (2023)

Rainfall prediction using machine learning
by: Kumar A.V.S.; Roshan S.A.; Dutta A.; Ray S.; Masadeh S.R.; Lakshmi G.P.; Michalopoulos D.; Nyayapati R.; Musirin I.B.; Kaur G.
Published: (2024)