Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review
Authors
Keywords
Sentiment analysis, COVID-19, Opinion mining, Disease mitigation, Epidemic, Pandemic, Infectious disease
Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 167, Issue -, Pages 114155
Publisher
Elsevier BV
Online
2020-10-28
DOI
10.1016/j.eswa.2020.114155
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Lessons learned from the 2019-nCoV epidemic on prevention of future infectious diseases
- (2020) Xingchen Pan et al. MICROBES AND INFECTION
- The COVID‐19 epidemic
- (2020) Thirumalaisamy P. Velavan et al. TROPICAL MEDICINE & INTERNATIONAL HEALTH
- Clinical trials in an Ebola outbreak seek to find an evidence-based cure
- (2020) Laura K. McMullan EBioMedicine
- Sentiment analysis of social media response on the Covid19 outbreak
- (2020) Muzafar Bhat et al. BRAIN BEHAVIOR AND IMMUNITY
- Measuring the Outreach Efforts of Public Health Authorities and the Public Response on Facebook During the COVID-19 Pandemic in Early 2020: Cross-Country Comparison
- (2020) Aravind Sesagiri Raamkumar et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Evidence informing the UK's COVID-19 public health response must be transparent
- (2020) Nisreen A Alwan et al. LANCET
- How will country-based mitigation measures influence the course of the COVID-19 epidemic?
- (2020) Roy M Anderson et al. LANCET
- The Impact of COVID-19 Epidemic Declaration on Psychological Consequences: A Study on Active Weibo Users
- (2020) Sijia Li et al. International Journal of Environmental Research and Public Health
- The COVID-19 pandemic: Technology use to support the wellbeing of children
- (2020) Karen Goldschmidt Journal of Pediatric Nursing-Nursing Care of Children & Families
- Two decades of research on business intelligence system adoption, utilization and success – A systematic literature review
- (2019) Noor Ul-Ain et al. DECISION SUPPORT SYSTEMS
- Predicting literature’s early impact with sentiment analysis in Twitter
- (2019) Saeed-Ul Hassan et al. KNOWLEDGE-BASED SYSTEMS
- Effective surveillance and predictive mapping of mosquito-borne diseases using social media
- (2018) Vinay Kumar Jain et al. Journal of Computational Science
- An unsupervised machine learning model for discovering latent infectious diseases using social media data
- (2017) Sunghoon Lim et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Large-scale machine learning of media outlets for understanding public reactions to nation-wide viral infection outbreaks
- (2017) Sungwoon Choi et al. METHODS
- Public sentiment and discourse about Zika virus on Instagram
- (2017) E.K. Seltzer et al. PUBLIC HEALTH
- Mobile Learning for English Language Acquisition: Taxonomy, Challenges, and Recommendations
- (2017) Monther M. Elaish et al. IEEE Access
- SentiHealth-Cancer: A sentiment analysis tool to help detecting mood of patients in online social networks
- (2016) Ramon Gouveia Rodrigues et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- Using online social networks to track a pandemic: A systematic review
- (2016) Mohammed Ali Al-garadi et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Topic-based content and sentiment analysis of Ebola virus on Twitter and in the news
- (2016) Erin Hea-Jin Kim et al. JOURNAL OF INFORMATION SCIENCE
- Internet governance by social media platforms
- (2015) L. DeNardis et al. TELECOMMUNICATIONS POLICY
- The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration
- (2009) Alessandro Liberati et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Comparison of PubMed, Scopus, Web of Science, and Google Scholar: strengths and weaknesses
- (2007) Matthew E. Falagas et al. FASEB JOURNAL
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started