A Sprinklr export that has had score_valence() added and most other variables removed
Format
A data frame with 6,011 observations of 9 variables.
- message
The raw text content of the Sprinklr mention
- message_id
Unique ID for each post
- ave_sentiment
The valence score of each post
- date
Date object
- sender_screen_name
Screen name of poster
- message_type
e.g. "Twitter Mention", "Twitter Update"
- sd
Standard deviation of post's valence
- word_count
Word count of post
- sender_followers_count
Number of followers the sender has