Analyze conversation attributes

This function takes in the output of one of the other functions (either processZoomChat or processZoomTranscript) and produces a set of conversation measures.

textConversationAnalysis(
  inputData,
  inputType,
  meetingId,
  speakerId,
  sentMethod = "none"
)

Arguments

inputData	data.frame that is the output of either processZoomChat or processZoomTranscript
inputType	string of either 'transcript' or 'chat'
meetingId	string giving the name of the variable with the meetingId
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'

Value

A list of two data.frames, with names conditional on your choice to analyze a parsed transcript file or a parsed chat file. The first list item contains statistics at the corpus level. The second list item contains statistics at the speaker/messager level of analysis.

Examples

convo.out = textConversationAnalysis(inputData=sample_transcript_processed, 
inputType='transcript', meetingId='batchMeetingId', 
speakerId='userName', sentMethod="none")

convo.out = textConversationAnalysis(inputData=sample_transcript_sentiment_syu, 
inputType='transcript', meetingId='batchMeetingId', 
speakerId='userName', sentMethod="syuzhet")

convo.out = textConversationAnalysis(inputData=sample_chat_sentiment_aws, 
inputType='chat', meetingId='batchMeetingId', 
speakerId='userName', sentMethod="aws")

if (FALSE) {
convo.out = textConversationAnalysis(inputData=sample_transcript_sentiment_aws, 
inputType='transcript', meetingId='batchMeetingId', 
speakerId='userName', sentMethod="aws")

convo.out = textConversationAnalysis(inputData=sample_transcript_sentiment_syu, 
inputType='transcript', meetingId='batchMeetingId', 
speakerId='userName', sentMethod="syuzhet")

convo.out = textConversationAnalysis(inputData=sample_chat_processed, 
inputType='chat', meetingId='batchMeetingId', 
speakerId='userName', sentMethod="none")

convo.out = textConversationAnalysis(inputData=sample_chat_sentiment_aws, 
inputType='chat', meetingId='batchMeetingId', 
speakerId='userName', sentMethod="aws")

convo.out = textConversationAnalysis(inputData=sample_chat_sentiment_syu, 
inputType='chat',meetingId='batchMeetingId',  
speakerId='userName', sentMethod="syuzhet")
}