Package: disclosuR
Type: Package
Title: Text Conversion from Nexis Uni PDFs to R Data Frames
Version: 0.5.2
Date: 2023-06-05
Authors@R: 
  person("Jonas", "Röttger", role = c("aut", "cre"), 
         email = "jonas.roettger@gmx.net")
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)<doi:10.5465/amj.2013.0288> and Gamache et al.
        (2015)<doi:10.5465/amj.2013.0377>.
License: GPL-3
Imports: dplyr, lubridate, pdftools, qdap, SentimentAnalysis, stringi,
        stringr, syuzhet, zoo, SnowballC, tm, stats, rlang
Encoding: UTF-8
RoxygenNote: 7.2.3
Config/pak/sysreqs: git libglpk-dev make default-jdk libicu-dev
        libjpeg-dev libxml2-dev libssl-dev libpoppler-cpp-dev
        poppler-data
Repository: https://jonasroettger.r-universe.dev
Date/Publication: 2023-12-21 05:07:03 UTC
RemoteUrl: https://github.com/jonasroettger/disclosur
RemoteRef: HEAD
RemoteSha: 1ba128d76d92048ae75a41427668fa15ca7b4a77
NeedsCompilation: no
Packaged: 2026-10-11 08:47:22 UTC; root
Author: Jonas Röttger [aut, cre]
Maintainer: Jonas Röttger <jonas.roettger@gmx.net>