Plotting Conversation Data

Visualisation, analysis and quality control of conversational data. Rapid and visual insights into the nature, timing and quality of time-aligned annotations in conversational corpora. For more details, see Dingemanse et al., (2022) .

talkr

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.

Installation

You can install the development version of talkr from GitHub with:

# install.packages("devtools")
devtools::install_github("elpaco-escience/talkr", build_vignettes = TRUE)

talkr has been submitted to CRAN, and will soon be installable with:

install.packages("talkr")

Workflows

Two workflows for talkr are described in the workflows vignette.

You can also access the vignette from RStudio, by running:

vignette("workflows", package = "talkr")

Contact

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.