ArticleInformation systems frontiers : a journal of research and innovation2021
Applying and Understanding an Advanced, Novel Deep Learning Approach: A Covid 19, Text Based, Emotions Analysis Study.
Article in Information systems frontiers : a journal of research and innovation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- A Two-Stage Voting-Boosting Technique for Ensemble Learning in Social Network Sentiment Classification.Entropy (Basel, Switzerland) · 2023Article
- Social media-based COVID-19 sentiment classification model using Bi-LSTM.Expert systems with applications · 2023Article
- Intelligent lead-based bidirectional long short term memory for COVID-19 sentiment analysis.Social network analysis and mining · 2023Article
- Human behavior in the time of COVID-19: Learning from big data.Frontiers in big data · 2023Review
- Characterizing the Prevalence of Obesity Misinformation, Factual Content, Stigma, and Positivity on the Social Media Platform Reddit Between 2011 and 2019: Infodemiology Study.Journal of medical Internet research · 2022Article
- Fake news on Facebook and their impact on supply chain disruption during COVID-19.Annals of operations research · 2022Article
- Impact of Digital Assistant Attributes on Millennials' Purchasing Intentions: A Multi-Group Analysis using PLS-SEM, Artificial Neural Network and fsQCA.Information systems frontiers : a journal of research and innovation · 2022Article
- Implementing Artificial Intelligence in Traditional B2B Marketing Practices: An Activity Theory Perspective.Information systems frontiers : a journal of research and innovation · 2022Article
- User Privacy, Surveillance and Public Health during COVID-19 - An Examination of Twitterverse.Information systems frontiers : a journal of research and innovation · 2022Article
- The Dark Side of Mobile Learning via Social Media: How Bad Can It Get?Information systems frontiers : a journal of research and innovation · 2022Article
- ARIMA model forecasting analysis of the prices of multiple vegetables under the impact of the COVID-19.PloS one · 2022Article
- Editorial on Machine Learning, AI and Big Data Methods and Findings for COVID-19.Information systems frontiers : a journal of research and innovation · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The pandemic COVID 19 has altered individuals' daily lives across the globe. It has led to preventive measures such as physical distancing to be imposed on individuals and led to terms such as 'lockdown,' 'emergency,' or curfew' to emerge in various countries. It has affected society, not only physically and financially, but in terms of emotional wellbeing as well. This distress in the human emotional quotient results from multiple factors such as financial implications, family member's behavior and support, country-specific lockdown protocols, media influence, or fear of the pandemic. For efficient pandemic management, there is a need to understand the emotional variations among individuals, as this will provide insights into public sentiment towards various government pandemic management policies. From our investigations, it was found that individuals have increasingly used different microblogging platforms such as Twitter to remain connected and express their feelings and concerns during the pandemic. However, research in the area of expressed emotional wellbeing during COVID 19 is still growing, which motivated this team to form the aim:
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.