My PhD supervisor once told me that everyone doing newspaper
analysis starts by writing code to read in files from the 'LexisNexis' newspaper
archive (retrieved e.g., from <http://www.nexis.com/> or any of the partner
sites). However, while this is a nice exercise I do recommend, not everyone has
the time. This package takes files downloaded from the newspaper archive of
'LexisNexis', reads them into R and offers functions for further processing.
Version: |
0.3.5 |
Depends: |
R (≥ 3.5.0) |
Imports: |
data.table (≥ 1.10.0), methods (≥ 3.3.0), parallel (≥
3.3.0), pbapply (≥ 1.3.4), quanteda (≥ 1.1.0), quanteda.textstats, stats (≥ 3.3.0), stringdist (≥ 0.9.4.0), stringi (≥ 1.1.7), tibble (≥ 1.4.0), utils (≥ 3.3.0) |
Suggests: |
corpustools, covr, diffobj, dplyr, RSQLite, testthat, tidytext, tm, kableExtra, knitr, pdftools, rmarkdown, spelling, striprtf, xml2 |
Published: |
2022-01-04 |
Author: |
Johannes Gruber [aut, cre] |
Maintainer: |
Johannes Gruber <Gruber at europa-uni.de> |
BugReports: |
https://github.com/JBGruber/LexisNexisTools/issues |
License: |
GPL-3 |
URL: |
https://github.com/JBGruber/LexisNexisTools |
NeedsCompilation: |
no |
Language: |
en-GB |
Citation: |
LexisNexisTools citation info |
Materials: |
README NEWS |
CRAN checks: |
LexisNexisTools results |