Run a windowed analysis on either a Zoom transcript or chat This function conducts a temporal window analysis on the conversation in either a Zoom transcript or chat. It replicates the textConversationAnalysis function across a set of windows at a window size specified by the user.

windowedTextConversationAnalysis(
  inputData,
  inputType,
  meetingId,
  speakerId,
  sentMethod = "none",
  timeVar = "automatic",
  windowSize
)

Arguments

inputData	data.frame output of either processZoomTranscript or processZoomChat
inputType	string of either 'chat' or 'transcript'
meetingId	string giving the column with the meeting identifier
speakerId	string giving the name of the identifier for the individual who made this contribution
sentMethod	string giving the type of sentiment analysis to include, either 'aws' or 'syuzhet'
timeVar	name of variable giving the time marker to be used. For transcript, either use 'utteranceStartSeconds' or 'utteranceEndSeconds'; for chat use 'messageTime'
windowSize	integer value of the duration of the window in number of seconds

Value

list with two data.frames. In the first (windowlevel), each row is a temporal window. In the second (speakerlevel), each row is a user's metrics within a given temporal window.

Examples

win.text.out = windowedTextConversationAnalysis(inputData=sample_transcript_sentiment_aws, 
inputType="transcript", meetingId="batchMeetingId", speakerId="userName", sentMethod="aws", 
timeVar="utteranceStartSeconds", windowSize=600)
#> 
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