ConvoKit: Conversational Analysis Toolkit

This toolkit contains tools to extract conversational features and analyze social phenomena in conversations, using a single unified interface inspired by (and compatible with) scikit-learn. Several large conversational datasets are included together with scripts exemplifying the use of the toolkit on these datasets. The latest version is 4.1.2 (released June 26, 2026); follow the project on GitHub to keep track of updates.

Installation - Get started with ConvoKit

Datasets - Browse available conversational datasets

Tools - Explore analysis features and APIs

If you are new to ConvoKit, great places to get started are:

The Core Concepts tutorial for an overview of the ConvoKit “philosophy” and object model

The High-level tutorial for a walkthrough of how to import ConvoKit into your project, load a Corpus, and use ConvoKit functions

For an overview, watch our SIGDIAL talk introducing the toolkit:

If you use the code or datasets distributed with ConvoKit please acknowledge the work tied to the respective component (indicated in the documentation) in addition to:

Jonathan P. Chang, Caleb Chiam, Liye Fu, Andrew Wang, Justine Zhang, Cristian Danescu-Niculescu-Mizil. 2020. “ConvoKit: A Toolkit for the Analysis of Conversations”. Proceedings of SIGDIAL .

ConvoKit is funded in part by the U.S. National Science Foundation under Grant No. IIS-1750615 (CAREER). Any opinions, findings, and conclusions in this work are those of the author(s) and do not necessarily reflect the views of Cornell University or the National Science Foundation.