This package is under development, and not ready for use. Interact with us in the issues if you have any questions or suggestions.
{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")
devtools::install_github("elpaco-escience/talkr", build_vignettes = TRUE)
The main workflow for talkr
is described in the workflow vignette.
You can access the vignette by running:
vignette("workflow", package = "talkr")