flattenSelf: Combine transcript or chat files into conversational turns

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

Combine transcript or chat files into conversational turns

Description

Different transcription algorithms mark utterances in different ways. This function will combine consecutive utterances (or messages) by the same person into conversational turns. The user can also specify a gap in between messages to use to determine whether they should be combined or not.

Usage

flattenSelf(inputData, inputType, meetingId, speakerId, gapLength)

Arguments

inputData	data.frame output from either processZoomTranscript or processZoomChat
inputType	either 'transcript' or 'chat'
meetingId	character giving the name of the meeting identifier variable
speakerId	character giving the name of the speaker identifier variable
gapLength	integer giving the number of seconds for marking distinct turns by the same speaker. Consecutive utterances by the same speaker of greater than or equal to this value will be treated as different conversational turns.

Value

a data.frame that is the same format as inputData, but where the observations are the new, compressed conversational turns.

Examples

newChat = flattenSelf(inputData = 
sample_chat_processed[sample_chat_processed$batchMeetingId=="00000000001", ], 
inputType="chat", meetingId = "batchMeetingId", 
speakerId="userName", gapLength=120)

newTranscript = flattenSelf(inputData = 
sample_transcript_processed[sample_transcript_processed$batchMeetingId=="00000000001", ], 
inputType="transcript", meetingId = "batchMeetingId", 
speakerId="userName", gapLength=120)

andrewpknight/zoomGroupStats documentation built on April 14, 2022, 6:16 a.m.