The-Social-Dilemma-Tweets---Text-Classification
OpenML dataset with id 43532
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22102357/The-Social-Dilemma-Tweets---Text-Classification.arff
Upload date: 23 March 2022
Dataset Characteristics
Number of features: 14 (numeric: 3, symbolic: 2 and in total binary: 2 )
Number of instances: 20,068
Number of instances with missing values: 8,638
Number of missing values: 10,429
Context The Social Dilemma, a documentary-drama hybrid explores the dangerous human impact of social networking, with tech experts sounding the alarm on their own creations as the tech experts sound the alarm on the dangerous human impact of social networking. Initial release: January 2020 Director: Jeff Orlowski Producer: Larissa Rhodes Music director: Mark A. Crawford Screenplay: Jeff Orlowski, Vickie Curtis, Davis Coombe Content This dataset brings you the twitter responses made with the TheSocialDilemma hashtag after watching the eye-opening documentary "The Social Dilemma" released in an OTT platform(Netflix) on September 9th, 2020. The dataset was extracted using TwitterAPI, consisting of nearly 10,526 tweets from twitter users all over the globe!
No Columns Descriptions
1
user_name
The name of the user, as theyve defined it.
2
user_location
The user-defined location for this accounts profile.
3
user_description
The user-defined UTF-8 string describing their account.
4
user_created
Time and date, when the account was created.
5
user_followers
The number of followers an account currently has.
6
user_friends
The number of friends an account currently has.
7
user_favourites
The number of favorites a account currently has
8
user_verified
When true, indicates that the user has a verified account
9
date
UTC time and date when the Tweet was created
10
text
The actual UTF-8 text of the Tweet
11
hashtags
All the other hashtags posted in the tweet along with TheSocialDilemma
12
source
Utility used to post the Tweet, Tweets from the Twitter website have a source value - web
13
is_retweet
Indicates whether this Tweet has been Retweeted by the authenticating user.
14
Sentiment(Target variable)
Indicates the sentiment of the tweet, consists of three categories: Positive, neutral, and negative
Inspiration
You can use this data to dive into the subjects that use this hashtag, look to the geographical distribution, evaluate sentiments, looks to trends.
This page was built for dataset: The-Social-Dilemma-Tweets---Text-Classification
