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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 |
| Reference manual: | disclosuR.pdf |
| 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 |
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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.