turnTaking: Simple conversational turn-taking analysis

In zoomGroupStats: Analyze Text, Audio, and Video from 'Zoom' Meetings

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')

zoomGroupStats documentation built on May 13, 2021, 5:06 p.m.