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talkr
offers a set of convenience functions for quality
control, visualisation and analysis of conversational data. It provides
support for at least two common needs of people working with
conversational corpora: (1) quality control by offering rapid insights
into the nature, timing, and quality of time-aligned annotations in a
conversational corpus; and (2) compelling visualisations by offering a
range of plotting functions that play well with ggplot and the
tidyverse.
Note: talkr
plays well with its companion python package
scikit-talk
,
which is focused more on processing conversational data and readying it
for downstream analysis.
You can install the development version of talkr
from
GitHub with:
# install.packages("devtools")
::install_github("elpaco-escience/talkr", build_vignettes = TRUE) devtools
talkr
has been submitted to CRAN, and will soon be
installable with:
install.packages("talkr")
Two workflows for talkr
are described in the
workflows vignette.
You can also access the vignette from RStudio, by running:
vignette("workflows", package = "talkr")
Questions? Comments? They are more than welcome! This package is under active development and still has some rough edges. Interact with us in the issues if you have any questions or suggestions.
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.