zoomGroupStats (version 0.1.0)

textSentiment: Conduct a sentiment analysis on text data

Description

This function takes in the output of the chat and transcript functions. It then conducts a sentiment analysis on an identified chunk of text and returns the values. To use the aws option, you must have an aws account that with privileges for the comprehend service However you authenticate for AWS, you should do so before running calling the function with this option in sentMethods

Usage

textSentiment(
  inputData,
  idVars,
  textVar,
  sentMethods,
  appendOut = FALSE,
  languageCodeVar
)

Arguments

inputData

data.frame that has been output by either the processZoomTranscript or processZoomChat functions

idVars

vector with the name of variables that give the unique identifiers for this piece of text. Usually this will be a the meeting id variable and the text id variable (e.g., utteranceId, messageId)

textVar

name of variable that contains the text

sentMethods

a vector specifying the types of sentiment analysis-currently either "aws" or "syuzhet"

appendOut

boolean indicating whether you want the sentiment results merged to the inputData in your output

languageCodeVar

name of variable that contains the language code

Value

returns a list containing as data.frames the output of the sentiment analyses that were requested in sentMethods. For each output data.frame, the first columns are the idVars specified to enable combining back with the original inputData

Examples

# NOT RUN {
sent.out = textSentiment(inputData=sample_chat_processed,
idVars=c('batchMeetingId', 'messageId'), 
textVar='message', sentMethods='syuzhet',appendOut=TRUE,
languageCodeVar='messageLanguage')

# }
# NOT RUN {
sent.out = textSentiment(inputData=sample_transcript_processed, 
idVars=c('batchMeetingId','utteranceId'), 
textVar='utteranceMessage', sentMethods=c('aws','syuzhet'), 
appendOut=TRUE, languageCodeVar='utteranceLanguage')
# }
# NOT RUN {
# }