Examples

An index of useful examples to help you interactively explore ConvoKit’s features.

Be sure to take a look at the introductory tutorial before exploring these examples!

General ConvoKit usage (starting resource)

• Introductory tutorial to ConvoKit

• Creating a ConvoKit Corpus from existing data:

  • Converting custom dataset into ConvoKit format corpus

  • Constructing ConvoKit format corpus from pandas dataframe

• Using vector data in ConvoKit

• Pre-processing text, e.g. computing dependency parses

Intermediate corpus functionality

• Merging two different Corpora (even when there are overlaps or conflicts in Corpus data)

• Partially loading utterances from an included dataset

Classifier

• Extracting bag-of-Words vectors from utterances and using them in various classification tasks

• Using common politeness strategies for various predictive tasks

Coordination

• Exploring the balance of power in Wikipedia and the US Supreme Court

Expected Conversational Context Framework

• deriving question types and other characterizations in British parliamentary question periods

• exploration of Switchboard dialog acts corpus using ExpectedContextModelTransformer, and using DualContextWrapper

• examining Wikipedia talk page discussions

• computing the orientation of justice utterances in the US Supreme Court

Fighting Words

• Examining the Fighting Words of mixed-gender vs. single-gender conversations in movies

• Examining the Fighting Words of r/atheism vs r/Christianity

Forecaster

• CRAFT forecasting of conversational derailment

• Forecasting of conversational derailment using a cumulative bag-of-words model

• Evaluating Transformer Fine-tuned Models (i.e. RoBERTa, Gemma)

Hyperconvo

• Categorizing and analyzing subreddits using Hyperconvo features

• Using Hyperconvo features to predict conversation growth on Reddit in a paired setting

Politeness Strategies

• Exploring common politeness strategies used in Stanford Politeness Corpus

• Using politeness strategies to predict Wikipedia conversations gone awry

Ranker

• Ranking users in r/Cornell by the number of comments they have made

Speaker Convo Diversity

• Speaker conversation attributes and diversity example on ChangeMyView

Redirection and Utterance Likelihood

• Redirections in supreme court oral arguments

Talk Time Sharing Dynamics

• Talk-Time Sharing Dynamics in CANDOR Corpus and Supreme Court Oral Arguments

Summary of Conversation Dynamics (SCD)

• Example notebook for creating SCDs

ConDynS

• Comparing conversational dynamics of conversations in WikiConv German and Friends

Pivotal Moments

• Pivotal moments demo in conversations gone awry