COVID-19 Research Abstracts

Abstracts of peer-reviewed research on COVID-19, drawn from a bibliographic database export and covering its effects on education, children, schools, and society. Longer and more technical than feedback_translations, with a publication year on every record, the corpus is a realistic benchmark for the package's embedding and topic-modeling workflow — including temporal analysis across the pandemic years.

Usage

covid

Format

A data frame with 4,170 rows and 2 columns:

Year

Integer publication year, from 2020 to 2024.

Abstract

The article abstract. 323 records carry the placeholder "[No abstract available]"; the other 3,847 hold 3,670 distinct abstracts, and the longest is 5,285 characters.

Editorial notices (retractions, corrections, and errata) are removed during preparation, so every row is a research abstract or a placeholder. topics() and compare_topics() drop the placeholder rows themselves when given the data frame with column = "Abstract".

Source

Bibliographic database export of COVID-19 research articles (2020-2024), prepared by data-raw/covid.R.

Examples

xtabs(~ Year, data = covid)
#> Year
#> 2020 2021 2022 2023 2024 
#>  754 2745  560  106    5 

abstracts <- subset(covid, Abstract != "[No abstract available]")
nrow(abstracts)
#> [1] 3847
with(abstracts, summary(nchar(Abstract)))
#>    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
#>     171    1016    1316    1350    1640    5285