Parsed chat file in a 'Zoom' meeting with sentiment analysis using AWS

sample_chat_sentiment_aws

## Format

A data frame with 10 rows of 14 variables:

batchMeetingId

a character meeting identification variable

messageId

an incremented numeric identifier for a marked chat message

'Zoom' display name attached to the messager

messageSeconds

when the message was posted as the number of seconds from the start of the recording

messageTime

timestamp for message

message

text of the message

messageLanguage

language code of the message

userEmail

userId

numeric id of each speaker

aws_sentClass

character giving the sentiment classification of this text

aws_positive

probability that this text is mixed emotion

aws_negative

probability that this text is negative

aws_neutral

probability that this text is neutral

aws_mixed

probability that this text is positive

## Source

http://zoomgroupstats.org/