A statistical analysis of tweets on covid-19 vaccine hesitancy utilizing opinion mining
An Indian perspective
Bibliographic Data
| ID | 4652157 |
|---|---|
| Authors | Ravi Verma (0000-0002-9499-5648, Punjab Engineering College), Amit Chhabra (0000-0001-7691-1044, Punjab Engineering College, corresponding author), Ankit Gupta (0000-0003-4439-4104, Punjab Engineering College) |
| Year | 2022 |
| Volume | 13 |
| Issue | 1 |
| Pages | 12-12 |
| Publication date | 2022-12-27 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Network Analysis and Mining (JOURNAL) |
| Journal identifiers | ISSN: 1869-5450 • E-ISSN: 1869-5469 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s13278-022-01015-2 |
| PMID | 36591558 |
| OpenAlex | W4313256559 |
| Language | EN |
| Citations received | 5 |
| References cited | 27 |
Disease · Geography · Globe · Pathology · Political science · Politics · Population · Public opinion · Sentiment analysis · Sociology · Computer Science · Demography · Influenza Virus Research Studies · Medicine · Misinformation and Its Impacts · Vaccine Coverage and Hesitancy · Artificial Intelligence
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| Citations per year | 1.67 |
|---|---|
| Citation span | 2023 - 2025 (3) |
| Highly cited | No |