# An intelligent early warning system of analyzing Twitter data using machine learning on COVID-19 surveillance in the US

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-intelligent-early-warning-system-of-analyzing-twitter-data-using-machine/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yiming Zhang,Ke Chen,Ying Weng,Zhuo Chen,Juntao Zhang,Richard Hubbard |
| Citations | 56 |
| DOI | 10.1016/j.eswa.2022.116882 |
| Fields | Mathematics,Medicine,Social Sciences |
| Open Access | true |
| OA Status | green |
| OA URL | https://www.ncbi.nlm.nih.gov/pmc/articles/8920081 |
| OpenAlex ID | https://openalex.org/W4220660761 |
| PMID | 35308584 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Yiming Zhang](https://scholariq.org/researchers/yiming-zhang/)
- [Ying Weng](https://scholariq.org/researchers/ying-weng/)

## Paper journal

- [Expert Systems with Applications](https://scholariq.org/journals/expert-systems-with-applications/)

## Paper primary topic

- [Data-Driven Disease Surveillance](https://scholariq.org/topics/data-driven-disease-surveillance/)

## Paper topics

- [Data-Driven Disease Surveillance](https://scholariq.org/topics/data-driven-disease-surveillance/)
- [Misinformation and Its Impacts](https://scholariq.org/topics/misinformation-and-its-impacts/)
- [COVID-19 epidemiological studies](https://scholariq.org/topics/covid-19-epidemiological-studies/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.