ConvoKit: A Toolkit for the Analysis of Conversations

Jonathan P. Chang, Caleb Chiam, Liye Fu, Andrew Wang, Justine Zhang, Cristian Danescu-Niculescu-Mizil


Abstract
This paper describes the design and functionality of ConvoKit, an open-source toolkit for analyzing conversations and the social interactions embedded within. ConvoKit provides an unified framework for representing and manipulating conversational data, as well as a large and diverse collection of conversational datasets. By providing an intuitive interface for exploring and interacting with conversational data, this toolkit lowers the technical barriers for the broad adoption of computational methods for conversational analysis.
Anthology ID:
2020.sigdial-1.8
Volume:
Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Month:
July
Year:
2020
Address:
1st virtual meeting
Editors:
Olivier Pietquin, Smaranda Muresan, Vivian Chen, Casey Kennington, David Vandyke, Nina Dethlefs, Koji Inoue, Erik Ekstedt, Stefan Ultes
Venue:
SIGDIAL
SIG:
SIGDIAL
Publisher:
Association for Computational Linguistics
Note:
Pages:
57–60
Language:
URL:
https://aclanthology.org/2020.sigdial-1.8
DOI:
10.18653/v1/2020.sigdial-1.8
Bibkey:
Cite (ACL):
Jonathan P. Chang, Caleb Chiam, Liye Fu, Andrew Wang, Justine Zhang, and Cristian Danescu-Niculescu-Mizil. 2020. ConvoKit: A Toolkit for the Analysis of Conversations. In Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue, pages 57–60, 1st virtual meeting. Association for Computational Linguistics.
Cite (Informal):
ConvoKit: A Toolkit for the Analysis of Conversations (Chang et al., SIGDIAL 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.sigdial-1.8.pdf
Video:
 https://youtube.com/watch?v=nofzyxM4h1k
Code
 CornellNLP/Cornell-Conversational-Analysis-Toolkit