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disclosuR  

Text Conversion from Nexis Uni PDFs to R Data Frames
View on CRAN: Click here


Download and install disclosuR package within the R console
Install from CRAN:
install.packages("disclosuR")

Install from Github:
library("remotes")
install_github("cran/disclosuR")

Install by package version:
library("remotes")
install_version("disclosuR", "0.6.0")



Attach the package and use:
library("disclosuR")
Maintained by
Jonas Röttger
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-06-13
Latest Update: 2024-01-09
Description:
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) and Gamache et al. (2015).
How to cite:
Jonas Röttger (2023). disclosuR: Text Conversion from Nexis Uni PDFs to R Data Frames. R package version 0.6.0, https://cran.r-project.org/web/packages/disclosuR. Accessed 12 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:32), 0.0.1.0 (2023-06-13 18:40), 0.4.0 (2023-06-24 18:00), 0.5.0 (2023-06-26 11:20), 0.5.1 (2023-07-03 09:30), 0.5.2 (2023-11-23 15:30)
Other packages that cited disclosuR R package
View disclosuR citation profile
Other R packages that disclosuR depends, imports, suggests or enhances
Complete documentation for disclosuR
Functions, R codes and Examples using the disclosuR R package
Some associated functions: conference_call_segmenter . conference_call_segmenter_folder . impression_offsetting . newswire_segmenter . newswire_segmenter_folder . 
Some associated R codes: 2023-04-24_DisclosuR.R .  Full disclosuR package functions and examples
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