Conduct a sentiment analysis on text data — textSentiment • zoomGroupStats

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

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

sent.out = textSentiment(inputData=sample_chat_processed,
idVars=c('batchMeetingId', 'messageId'), 
textVar='message', sentMethods='syuzhet',appendOut=TRUE,
languageCodeVar='messageLanguage')
#> Running syuzhet lexicon-based sentiment analysis

if (FALSE) {
sent.out = textSentiment(inputData=sample_transcript_processed, 
idVars=c('batchMeetingId','utteranceId'), 
textVar='utteranceMessage', sentMethods=c('aws','syuzhet'), 
appendOut=TRUE, languageCodeVar='utteranceLanguage')
}