turnTaking {zoomGroupStats}

Simple conversational turn-taking analysis

Description

Generate a very basic analysis of the conversational turntaking in either a Zoom transcript or a Zoom chat file.

Usage

turnTaking(inputData, inputType, meetingId, speakerId)

Arguments

inputData

data.frame output from either processZoomChat or processZoomTranscript

inputType

string of either 'chat' or 'transcript'

meetingId

string giving the name of the meeting identifier

speakerId

string giving the name of the variable with the identity of the speaker

Value

list of four data.frames giving different levels of analysis for turn taking:

• rawTurn - This data.frame gives a dataset with a lagged column so that you could calculate custom metrics

• aggTurnsDyad - This gives a dyad-level dataset so that you know whose speech patterns came before whose

• aggTurnsSpeaker - This gives a speaker-level dataset with metrics that you could use to assess each given person's influence on the conversation

• aggTurnsSpeaker_noself - This is a replication of the aggTurnsSpeaker dataset, but it excludes turns where a speaker self-follows (i.e., Speaker A => Speaker A)

Examples

turn.out = turnTaking(inputData=sample_transcript_processed, 
inputType='transcript', meetingId='batchMeetingId', 
speakerId='userName')

turn.out = turnTaking(inputData=sample_chat_processed, 
inputType='chat', meetingId='batchMeetingId', 
speakerId='userName')