talkr

{talkr} is an R package that offers a set of convenience functions for quality control, visualisation and analysis of conversational data. Most notably it provides a range of plotting functions that play well with ggplot and the tidyverse.

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109 commits | Last commit 1 week ago

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What talkr can do for you

talkr

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Note

This package is under development, and not ready for use. Interact with us in the issues if you have any questions or suggestions.

Overview

{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)

Workflow

The main workflow for talkr is described in the workflow vignette. You can access the vignette by running:

vignette("workflow", package = "talkr")
Keywords
Programming language
  • R 100%
License
  • Apache-2.0
</>Source code

Participating organisations

Radboud University Nijmegen
Netherlands eScience Center

Reference papers

Mentions

Contributors

Barbara Vreede
Barbara Vreede
eScience Research Engineer
Netherlands eScience Center
Mark Dingemanse
Mark Dingemanse
Lead Applicant
Radboud University Nijmegen
AL
Andreas Liesenfeld
EV
Eva Viviani
eScience Research Engineer
Netherlands eScience Center

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Related software

scikit-talk

SC

Scikit-talk is an open-source toolkit for processing collections of real-world conversational speech in Python. The toolkit aims to facilitate the exploration of large collections of transcriptions and annotations of conversational interaction.

Updated 1 month ago
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