Parsed spoken language in a 'Zoom' meeting with syuzhet-based sentiment analysis.

sample_transcript_sentiment_syu

Format

A data frame with 30 rows of 23 variables:

batchMeetingId

a character meeting identification variable

utteranceId

an incremented numeric identifier for a marked speech utterance

userName

'Zoom' display name attached to this speaker

utteranceStartSeconds

when the utterance started as the number of seconds from the start of the recording

utteranceStartTime

timestamp for the start of the utterance

utteranceEndSeconds

when the utterance ended as the number of seconds from the start of the recording

utteranceEndTime

timestamp for the end of the utterance

utteranceTimeWindow

duration of the utterance, in seconds

utteranceMessage

the text of the utterance

utteranceLanguage

language code of the utterance

userEmail

character email address

userId

numeric id of each speaker

wordCount

number of words in this utterance

syu_anger

number of anger words

syu_anticipation

number of anticipation words

syu_disgust

number of disgust words

syu_fear

number of fear words

syu_joy

number of joy words

syu_sadness

number of sadness words

syu_surprise

number of surprise words

syu_trust

number of trust words

syu_negative

number of negative words

syu_positive

number of positive words

Source

http://zoomgroupstats.org/