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A Proposed Sentiment Analysis Deep Learning Algorithm for Analyzing COVID-19 Tweets

https://doi.org/10.1007/s10796-021-10135-7

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery

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The Perils and Promises of Self-Disclosure on Social Media

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A Proposed Solution and Future Direction for Blockchain-Based Heterogeneous Medicare Data in Cloud Environment

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A Review of Coronavirus Disease-2019 (COVID-19)

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COVID-19 and mental health: A review of the existing literature

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Sentiment analysis of social images via hierarchical deep fusion of content and links

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Deep Learning for Aspect-Based Sentiment Analysis: A Comparative Review

inferredcites →https://doi.org/10.1016/j.eswa.2020.114155openalex-snapshot

Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review

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Predictive analysis and modelling football results using machine learning approach for English Premier League

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Twitter sentiment analysis using hybrid cuckoo search method

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A survey on opinion mining and sentiment analysis: Tasks, approaches and applications

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Classification of microarray using MapReduce based proximal support vector machine classifier

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Contextual sentiment analysis for social media genres

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A survey on deep learning in medical image analysis

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Chaotic time series prediction with residual analysis method using hybrid Elman–NARX neural networks

inferredcites →https://doi.org/10.1101/2020.02.28.20029272openalex-snapshot

Closed environments facilitate secondary transmission of coronavirus disease 2019 (COVID-19)

inferredcites →https://doi.org/10.1101/2020.08.28.20183863openalex-snapshot

Unmasking the conversation on masks: Natural language processing for topical sentiment analysis of COVID-19 Twitter discourse

inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot

Gradient-based learning applied to document recognition

inferredcites →https://doi.org/10.1109/access.2017.2776930openalex-snapshot

Deep Convolution Neural Networks for Twitter Sentiment Analysis

inferredcites →https://doi.org/10.1109/access.2020.3027350openalex-snapshot

Cross-Cultural Polarity and Emotion Detection Using Sentiment Analysis and Deep Learning on COVID-19 Related Tweets

inferredcites →https://doi.org/10.1109/cbmi.2018.8516481openalex-snapshot

Visual Sentiment Analysis Based on on Objective Text Description of Images

inferredcites →https://doi.org/10.1109/cit/iucc/dasc/picom.2015.349openalex-snapshot

Sentiment Analysis Using Convolutional Neural Network

inferredcites →https://doi.org/10.1109/i4ct.2014.6914200openalex-snapshot

Sentiment analysis using Support Vector Machine

inferredcites →https://doi.org/10.1109/icassp.2011.5947611openalex-snapshot

Extensions of recurrent neural network language model

inferredcites →https://doi.org/10.1109/icdmw.2015.142openalex-snapshot

Sentiment Analysis for Social Media Images

inferredcites →https://doi.org/10.1109/ijcnn.2018.8489180openalex-snapshot

A Deep Neural Network Model for Target-based Sentiment Analysis

inferredcites →https://doi.org/10.1145/1963192.1963309openalex-snapshot

Social media analytics

inferredcites →https://doi.org/10.1145/3065386openalex-snapshot

ImageNet classification with deep convolutional neural networks

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Mental Health Problems and Social Media Exposure During COVID-19 Outbreak

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inferredcites →https://doi.org/10.18653/v1/w17-5221openalex-snapshot

Explaining Recurrent Neural Network Predictions in Sentiment Analysis

inferredcites →https://doi.org/10.21227/c3rk-2h31openalex-snapshot

Corona Virus (COVID-19) Tweets Dataset

inferredcites →https://doi.org/10.21437/interspeech.2010-343openalex-snapshot

Recurrent neural network based language model

inferredcites →https://doi.org/10.21437/interspeech.2020-2223openalex-snapshot

An Early Study on Intelligent Analysis of Speech Under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety

inferredcites →https://doi.org/10.2196/18585openalex-snapshot

Development of an Online Health Care Assessment for Preventive Medicine: A Machine Learning Approach

inferredcites →https://doi.org/10.2196/19009openalex-snapshot

Mental Health, Risk Factors, and Social Media Use During the COVID-19 Epidemic and Cordon Sanitaire Among the Community and Health Professionals in Wuhan, China: Cross-Sectional Survey

inferredcites →https://doi.org/10.3961/jpmph.20.094openalex-snapshot

Impact of Rumors and Misinformation on COVID-19 in Social Media

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Cross-Cultural Polarity and Emotion Detection Using Sentiment Analysis and Deep Learning -- a Case Study on COVID-19

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Post-Pandemic Sentiment Analysis Based on Twitter Data Using Deep Learning

inferred← citeshttps://doi.org/10.1109/iccsc62048.2024.10830396openalex-snapshot

Leveraging Neural Networks for Fine Grained Twitter Sentiment Analysis in the Context of Depression During Covid

inferred← citeshttps://doi.org/10.1109/icdcece65353.2025.11035780openalex-snapshot

Real Time Motion Monitoring System based on Deep Learning Algorithm

inferred← citeshttps://doi.org/10.1109/iceib61477.2024.10602717openalex-snapshot

Sentiment Analysis Algorithm in Social Media Data of Cancer Patients

inferred← citeshttps://doi.org/10.1109/icics63486.2024.10638293openalex-snapshot

Detecting the Impact of COVID-19 on Social Media using BERT-Based Model

inferred← citeshttps://doi.org/10.1109/iciics59993.2023.10421075openalex-snapshot

Multi-Class Sentiment Classification using Feature Selection and Machine Learning Algorithms

inferred← citeshttps://doi.org/10.1109/iciscae66104.2025.11307278openalex-snapshot

A Multi-Strategy Ensemble-Enhanced BERT-LSTM Model and its Application to Sentiment Analysis

inferred← citeshttps://doi.org/10.1109/icscna58489.2023.10370081openalex-snapshot

Sentiment Analysis of IMDB Movies Dataset Using Deep Learning Based GRU Model

inferred← citeshttps://doi.org/10.1109/icsintesa56431.2022.10041651openalex-snapshot

Sentiment Classification Twitter of LRT, MRT, and Transjakarta Transportation using Support Vector Machine

inferred← citeshttps://doi.org/10.1109/iiceta57613.2023.10351385openalex-snapshot

Exploiting COVID-19 Tweets for Sentiment Analysis Using Chameleon Optimization with Ensemble Learning

inferred← citeshttps://doi.org/10.1109/iihc55949.2022.10060027openalex-snapshot

Hybrid Deep Model for Sentiment Analysis of COVID-19 Twitter Data

inferred← citeshttps://doi.org/10.1109/isoirs65690.2025.11168016openalex-snapshot

Deep Learning Methods of Artificial Intelligence in Image Semantic Analysis

inferred← citeshttps://doi.org/10.1109/rteict52294.2021.9573897openalex-snapshot

Design and implementation of aspect Based Sentiment Analysis of Hotel Reviews

inferred← citeshttps://doi.org/10.1109/sisimpact67725.2025.11439401openalex-snapshot

Optimization and Simulation of Optical Device Performance Parameters based on Deep Learning Algorithm

inferred← citeshttps://doi.org/10.1109/tts.2021.3108963openalex-snapshot

Automated Classification of Societal Sentiments on Twitter With Machine Learning

inferred← citeshttps://doi.org/10.1111/exsy.13096openalex-snapshot

Effective deep learning based multimodal sentiment analysis from unstructured big data

inferred← citeshttps://doi.org/10.1111/joes.12645openalex-snapshot

Understanding market sentiment analysis: A survey

inferred← citeshttps://doi.org/10.1140/epjs/s11734-024-01172-9openalex-snapshot

A review of deep learning techniques for disaster management in social media: trends and challenges

inferred← citeshttps://doi.org/10.1155/2021/2158184openalex-snapshot

Deep Learning‐Based Methods for Sentiment Analysis on Nepali COVID‐19‐Related Tweets

inferred← citeshttps://doi.org/10.1155/2021/9986920openalex-snapshot

Hybrid Deep Learning Models for Sentiment Analysis

inferred← citeshttps://doi.org/10.1155/2022/5681574openalex-snapshot

A Hybrid Feature Extraction Method for Nepali COVID-19-Related Tweets Classification

inferred← citeshttps://doi.org/10.1155/2022/6354543openalex-snapshot

Semantic Sentiment Classification for COVID-19 Tweets Using Universal Sentence Encoder

inferred← citeshttps://doi.org/10.1155/2022/8898100openalex-snapshot

Sentiment Analysis on COVID-19 Twitter Data Streams Using Deep Belief Neural Networks

inferred← citeshttps://doi.org/10.1155/2023/1868826openalex-snapshot

Commuting to College: An Analysis of a Suburban Campus on the Outskirts of Madrid

inferred← citeshttps://doi.org/10.1155/2024/3027199openalex-snapshot

Multihead Text Mining from COVID‐19 Feedback Using Machine Learning, Deep Learning, and Hybrid Deep Learning Approaches

inferred← citeshttps://doi.org/10.1155/2024/3085910openalex-snapshot

Exploring University Students’ Adoption of ChatGPT Using the Diffusion of Innovation Theory and Sentiment Analysis With Gender Dimension

inferred← citeshttps://doi.org/10.11591/eei.v10i4.2325openalex-snapshot

Data mining applied about polygamy using sentiment analysis on Twitters in Indonesian perception

inferred← citeshttps://doi.org/10.11591/ijece.v14i2.pp2043-2054openalex-snapshot

A simplified classification computational model of opinion mining using deep learning

inferred← citeshttps://doi.org/10.11591/ijece.v14i2.pp2110-2125openalex-snapshot

Automatic customer review summarization using deep learning-based hybrid sentiment analysis

inferred← citeshttps://doi.org/10.11591/ijeecs.v26.i1.pp560-567openalex-snapshot

Real-time twitter data analytics of mental illness in COVID-19: sentiment analysis using deep neural network

inferred← citeshttps://doi.org/10.1177/13548565251320755openalex-snapshot

Visibility of K-pop in the U.S.: Global rankings, ‘audience mis-aggregation’, and mainstream attention to niche genre

inferred← citeshttps://doi.org/10.1186/s40537-023-00726-3openalex-snapshot

Twitter sentiment analysis using hybrid gated attention recurrent network

inferred← citeshttps://doi.org/10.1371/journal.pone.0315407openalex-snapshot

Machine and deep learning algorithms for sentiment analysis during COVID-19: A vision to create fake news resistant society

inferred← citeshttps://doi.org/10.14445/23488549/ijece-v11i1p106openalex-snapshot

Sentiment Analysis Using Self-Adaptive Stacking Ensemble Method for Classification

inferred← citeshttps://doi.org/10.14569/ijacsa.2022.0130196openalex-snapshot

Machine Learning Applied to Prevention and Mental Health Care in Peru

inferred← citeshttps://doi.org/10.14569/ijacsa.2022.01304103openalex-snapshot

Hybrid Deep Learning Approach for Sentiment Classification of Malayalam Tweets

inferred← citeshttps://doi.org/10.14569/ijacsa.2023.0140458openalex-snapshot

A Deep Learning Approach for Sentiment Classification of COVID-19 Vaccination Tweets

inferred← citeshttps://doi.org/10.14569/ijacsa.2023.01412105openalex-snapshot

A Hybrid Deep Learning Framework for Efficient Sentiment Analysis

inferred← citeshttps://doi.org/10.14569/ijacsa.2024.0150678openalex-snapshot

A Novel Framework for Sentiment Analysis: Dimensionality Reduction for Machine Learning (DRML)

inferred← citeshttps://doi.org/10.15282/ijsecs.9.2.2023.3.0114openalex-snapshot

SENTIMENT CLASSIFICATION OF TWEETS WITH EXPLICIT WORD NEGATIONS AND EMOJI USING DEEP LEARNING

inferred← citeshttps://doi.org/10.1587/transinf.2024iip0002openalex-snapshot

Improving Sentiment Analysis with an Ensemble Transformers Model on Health Pandemic Based on Twitter Data

inferred← citeshttps://doi.org/10.17148/ijarcce.2022.11241openalex-snapshot

A Topographical Sentimental Analysis of COVID-19 Tweets

inferred← citeshttps://doi.org/10.17218/hititsbd.1127965openalex-snapshot

Pazarlama stratejisinde önemli bir parametre olarak tüketici yorumları: tüketici yorumlarındaki puanlamalar ile duygusal eğilimler arasındaki ilişki

inferred← citeshttps://doi.org/10.17762/ijritcc.v11i9.8325openalex-snapshot

Enhancing Mental Health Awareness through Twitter Analysis: A Comparative Study of Machine Learning and Hybrid Deep Learning Techniques

inferred← citeshttps://doi.org/10.17798/bitlisfen.1842980openalex-snapshot

Sentiment Analysis of Monkeypox Tweets Using a Hybrid CNN-BiGRU Based Deep Learning Model

inferred← citeshttps://doi.org/10.18280/ria.380119openalex-snapshot

Analysis of Consumer Sentiments towards Online Shopping Using Context-Free Grammar and Deep Learning

inferred← citeshttps://doi.org/10.18517/ijaseit.13.4.17369openalex-snapshot

Customer Needs Classification from Online Social Media Using Bag-of-Concepts Representation

inferred← citeshttps://doi.org/10.18517/ijaseit.14.1.18832openalex-snapshot

The COVID-19 Tweets Classification Based on Recurrent Neural Network

inferred← citeshttps://doi.org/10.18653/v1/2021.findings-emnlp.27openalex-snapshot

Mining the Cause of Political Decision-Making from Social Media: A Case Study of COVID-19 Policies across the US States

inferred← citeshttps://doi.org/10.21203/rs.3.rs-2509731/v1openalex-snapshot

Causal effect of racial bias in machine learning algorithms affecting user persuasiveness & decision-making: An Empirical Study

inferred← citeshttps://doi.org/10.21203/rs.3.rs-2538262/v1openalex-snapshot

Sentiment Analysis of COVID-19 on Weibo text using optimized Bi-LSTM model

inferred← citeshttps://doi.org/10.21203/rs.3.rs-2912222/v1openalex-snapshot

An Efficient Early Diagnosis and Healthcare Monitoring System for Mental Disorder using Machine learning Approach

inferred← citeshttps://doi.org/10.21203/rs.3.rs-3702633/v1openalex-snapshot

Development of an Effective Sentiment Classification Architecture for Texts Containing Negation Words and Emojis

inferred← citeshttps://doi.org/10.21203/rs.3.rs-3786545/v1openalex-snapshot

Tweet Trends and Emotional Reactions: A Comprehensive Sentiment Analysis of Twitter Responses to the Earthquake in Turkey and Syria

inferred← citeshttps://doi.org/10.21203/rs.3.rs-4388338/v1openalex-snapshot

Tweet Analysis: Visualisation using Python

inferred← citeshttps://doi.org/10.2139/ssrn.5182249openalex-snapshot

Cluster Fusion Domain Adaptation: Improving Over Cross Domain Tasks

inferred← citeshttps://doi.org/10.2196/31540openalex-snapshot

Infoveillance of the Croatian Online Media During the COVID-19 Pandemic: One-Year Longitudinal Study Using Natural Language Processing

inferred← citeshttps://doi.org/10.2196/38399openalex-snapshot

Predicting Openness of Communication in Families With Hereditary Breast and Ovarian Cancer Syndrome: Natural Language Processing Analysis

inferred← citeshttps://doi.org/10.2196/70576openalex-snapshot

Exploring Topics, Emotions, and Sentiments in Health Organization Posts and Public Responses on Instagram: Content Analysis

inferred← citeshttps://doi.org/10.2196/75563openalex-snapshot

Beyond Affordances: Understanding the Holistic Influence of Multimodal Medical Crowdfunding Affordances on Charitable Crowdfunding Outcome (Preprint)

inferred← citeshttps://doi.org/10.2196/preprints.71318openalex-snapshot

The COVID-19 Infodemic: A Survey (Preprint)

inferred← citeshttps://doi.org/10.23939/mmc2026.01.269openalex-snapshot

DeepFaceEmotion: Enhancing Emotion Detection through Transfer Learning and Convolutional Neural Networks

inferred← citeshttps://doi.org/10.24014/sitekin.v20i2.22687openalex-snapshot

Predicting Rupiah Sentiment Using Social Sentiment Analysis

inferred← citeshttps://doi.org/10.2478/ijssis-2026-0015openalex-snapshot

Reductive Bias with Gated Recurrent Sentiment Analysis for Social Media Texts Using the Twitter Dataset

inferred← citeshttps://doi.org/10.26740/mathunesa.v10n1.p161-169openalex-snapshot

ANALISIS SENTIMEN DATA TWITTER MENGENAI PROGRAM VAKSINASI DI INDONESIA MENGGUNAKAN ALGORITMA BACKPROPAGATION

inferred← citeshttps://doi.org/10.30865/mib.v7i4.6816openalex-snapshot

Sentiment Analysis Classification of ChatGPT on Twitter Big Data in Indonesia Using Fast R-CNN

inferred← citeshttps://doi.org/10.30935/mjosbr/12790openalex-snapshot

SentiSfaction: New cultural way to measure tourist COVID-19 mobility in Italy

inferred← citeshttps://doi.org/10.31449/inf.v46i6.3991openalex-snapshot

A Review and Comparative Analysis of Sentiment Analysis Techniques

inferred← citeshttps://doi.org/10.3233/jifs-221883openalex-snapshot

Recurrent neural network based sentiment analysis of social media data during corona pandemic under national lockdown

inferred← citeshttps://doi.org/10.32604/cmc.2022.031732openalex-snapshot

Seeker Optimization with Deep Learning Enabled Sentiment Analysis on Social Media

inferred← citeshttps://doi.org/10.32604/cmc.2023.034840openalex-snapshot

Sine Cosine Optimization with Deep Learning-Based Applied Linguistics for Sentiment Analysis on COVID-19 Tweets

inferred← citeshttps://doi.org/10.32604/iasc.2022.025305openalex-snapshot

Depression Detection on COVID 19 Tweets Using Chimp Optimization Algorithm

inferred← citeshttps://doi.org/10.32604/iasc.2023.029036openalex-snapshot

A Parallel Approach for Sentiment Analysis on Social Networks Using Spark

inferred← citeshttps://doi.org/10.33395/sinkron.v7i3.11485openalex-snapshot

Sentiment Analysis About COVID-19 Booster Vaccine on Twitter Using Deep Learning

inferred← citeshttps://doi.org/10.3389/frai.2025.1623090openalex-snapshot

CoViNAR: a context-aware social media dataset for pandemic severity level prediction and analysis

inferred← citeshttps://doi.org/10.33897/fujeas.v2i2.493openalex-snapshot

Decision Support System for Measuring the User Sentiment towards Different COVID-19 Vaccines

inferred← citeshttps://doi.org/10.3390/app122312380openalex-snapshot

Exploiting Stacked Autoencoders for Improved Sentiment Analysis

inferred← citeshttps://doi.org/10.3390/atmos13081205openalex-snapshot

Data-Driven Prediction of COVID-19 Daily New Cases through a Hybrid Approach of Machine Learning Unsupervised and Deep Learning

inferred← citeshttps://doi.org/10.3390/bdcc6020058openalex-snapshot

COVID-19 Tweets Classification Based on a Hybrid Word Embedding Method

inferred← citeshttps://doi.org/10.3390/computers12110221openalex-snapshot

Investigation of the Gender-Specific Discourse about Online Learning during COVID-19 on Twitter Using Sentiment Analysis, Subjectivity Analysis, and Toxicity Analysis

inferred← citeshttps://doi.org/10.3390/data8030046openalex-snapshot

Analysis of Government Policy Sentiment Regarding Vacation during the COVID-19 Pandemic Using the Bidirectional Encoder Representation from Transformers (BERT)

inferred← citeshttps://doi.org/10.3390/data8060096openalex-snapshot

Exploring the Evolution of Sentiment in Spanish Pandemic Tweets: A Data Analysis Based on a Fine-Tuned BERT Architecture

inferred← citeshttps://doi.org/10.3390/electronics12153372openalex-snapshot

TSM-CV: Twitter Sentiment Analysis for COVID-19 Vaccines Using Deep Learning

inferred← citeshttps://doi.org/10.3390/electronics12194125openalex-snapshot

Modified Aquila Optimizer with Stacked Deep Learning-Based Sentiment Analysis of COVID-19 Tweets

inferred← citeshttps://doi.org/10.3390/healthcare10050910openalex-snapshot

Leveraging Tweets for Artificial Intelligence Driven Sentiment Analysis on the COVID-19 Pandemic

inferred← citeshttps://doi.org/10.3390/life14060708openalex-snapshot

Sentiment Analysis of Social Media Data on Ebola Outbreak Using Deep Learning Classifiers

inferred← citeshttps://doi.org/10.35882/ijeeemi.v7i2.81openalex-snapshot

Machine Learning Implementation for Sentiment Analysis on X/Twitter: Case Study of Class Of Champions Event in Indonesia

inferred← citeshttps://doi.org/10.36790/epistemus.v19i38.442openalex-snapshot

A Novel Utility-Based Nonlinear Mapping Mechanism for Enhancing Linear Layers in Neural Networks

inferred← citeshttps://doi.org/10.3934/mbe.2023112openalex-snapshot

An optimistic firefly algorithm-based deep learning approach for sentiment analysis of COVID-19 tweets

inferred← citeshttps://doi.org/10.4018/978-1-7998-9594-7.ch015openalex-snapshot

Sentiment Analysis and Stance Detection in Turkish Tweets About COVID-19 Vaccination

inferred← citeshttps://doi.org/10.4018/979-8-3693-0044-2.ch008openalex-snapshot

An Efficient Early Diagnosis and Healthcare Monitoring System for Mental Disorders Using Machine Learning

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