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disclosuR: Text Conversion from Nexis Uni PDFs to R Data Frames

Transform 'newswire' and earnings call transcripts as PDF obtained from 'Nexis Uni' to R data frames. Various 'newswires' and 'FairDisclosure' earnings call formats are supported. Further, users can apply several pre-defined dictionaries on the data based on Graffin et al. (2016)<doi:10.5465/amj.2013.0288> and Gamache et al. (2015)<doi:10.5465/amj.2013.0377>.

Version: 0.6.0
Imports: dplyr, lubridate, pdftools, qdap, SentimentAnalysis, stringi, stringr, syuzhet, zoo, SnowballC, tm, stats, rlang
Published: 2024-01-09
DOI: 10.32614/CRAN.package.disclosuR
Author: Jonas Röttger [aut, cre]
Maintainer: Jonas Röttger <jonas.roettger at gmx.net>
License: GPL-3
NeedsCompilation: no
CRAN checks: disclosuR results

Documentation:

Reference manual: disclosuR.pdf

Downloads:

Package source: disclosuR_0.6.0.tar.gz
Windows binaries: r-devel: disclosuR_0.6.0.zip, r-release: disclosuR_0.6.0.zip, r-oldrel: disclosuR_0.6.0.zip
macOS binaries: r-release (arm64): disclosuR_0.6.0.tgz, r-oldrel (arm64): disclosuR_0.6.0.tgz, r-release (x86_64): disclosuR_0.6.0.tgz, r-oldrel (x86_64): disclosuR_0.6.0.tgz
Old sources: disclosuR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=disclosuR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.