This project comprises Python and R packages for dealing with interactional data and analysing conversational dynamics. The scikit-talk Python package is aimed at loading, processing, transforming and analysing conversational data with methods from bioacoustics, signal processing and natural language processing. The talkr R package is designed to support rapid quality control, new ways of visualizing conversational structure, and methods for analysing conversational dynamics. Tools from scikit-talk and talkr can be used independently but are also designed to work well together.
These resources are developed within the framework of Elementary Particles of Conversation, with key support from a grant from the Netherlands eScience Center. Contributors include:
- Mark Dingemanse (PI, Elementary Particles of Conversation)
- Andreas Liesenfeld (postdoc, Elementary Particles of Conversation)
- Barbara Vreede (Research Software Engineer, Netherlands eScience Center)
- Eva Viviani (Research Software Engineer, Netherlands eScience Center)
- Pablo Rodríguez-Sánchez (Research Software Engineer, Netherlands eScience Center)