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
userName: '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: character email address
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