textConversationAnalysis {zoomGroupStats} | R Documentation |
Analyze conversation attributes
Description
This function takes in the output of one of the other functions (either processZoomChat or processZoomTranscript) and produces a set of conversation measures.
Usage
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")
## Not run:
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")
## End(Not run)