turnTaking.RdGenerate a very basic analysis of the conversational turntaking in either a Zoom transcript or a Zoom chat file.
turnTaking(inputData, inputType, meetingId, speakerId)
| 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 |
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)
turn.out = turnTaking(inputData=sample_transcript_processed, inputType='transcript', meetingId='batchMeetingId', speakerId='userName')#> | | | 0% | |=================================== | 50% | |======================================================================| 100%turn.out = turnTaking(inputData=sample_chat_processed, inputType='chat', meetingId='batchMeetingId', speakerId='userName')#> | | | 0% | |=================================== | 50% | |======================================================================| 100%