features.md

Original Features

• created_utc: the time (in seconds) when the comment was posted
• ups: number of upvotes on the comment
• subreddit_id: id of the specific subreddit
• link_id: id of the particular comment thread
• name: name of the comment
• score_hidden: 1 if the score of the comment was hidden; 0 else
• author_flair_css_class: CSS class for the comment flair
• author_flair_text: flair text for the comment
• id: id of the comment (basically the same as comment name)
• removal_reason: reason a comment was removed (either legal or None)
• gilded: the number of gilded tags (~ premium likes) on the comment
• downs: number of downvotes on the comment
• archived: if the thread was archived (no new comments, no new likes)
• author: author's reddit username
• score: number of upvotes
• retrieved_on: The time (in seconds) when the comment was pulled to create the dataset.
• body: the comment itself
• distinguished: the type of user on the page. Either moderator, admin, or None.
• edited: whether (1) or not (0) the comment has been edited
• controversiality: a Boolean indicating whether (1) or not (0) a comment is controversial -- i.e., popular comments that are getting closely the same amount of upvotes as downvotes.
• parent_id: the id of the comment that this comment was replying to. None if the comment is not a reply

Benchmark v1 Features

• time: time comment was posted
• time_lapse: time since first comment on thread
• hour_of_comment: hour of day comment was posted
• weekday: day of week comment was posted
• is_flair: Whether or not there is flair text for the comment
• is_flair_css: Whether or not there is a CSS class for the comment flair
• depth: depth of comment in thread
• parent_score: score of parent comment (NaN if comment doesn't have a parent)
• time_since_parent: time since parent comment was posted
• linked_sr: subreddits linkecd d in the comment
• linked_urls: urls linked in the comment
• no_of_linked_sr: number of subreddits mentioned in the comment
• no_of_linked_urls: number of urls linked in the comment
• subjectivity: number of instances of "I"
• is_edited: whether or not the comment has been edited
• is_quoted: whether or not comment quotes another
• no_quoted: number of quotes in the comment
• senti_neg: negative sentiment score
• senti_neu: neutral sentiment score
• senti_pos: positive sentiment score
• senti_comp: compound sentiment score
• word_counts: Number of words in the comment

Benchmark v2 Features

Scraped

• url: url of thread comment is on
• num_comments: number of comments on thread comment is on
• over_18: Whether or not the thread has been marked as NSFW
• link_score: upvotes of on thread comment is on
• selftext: selftext of thread if it exists
• title: title of thread
• upvote_ratio: The percentage of upvotes from all votes on the thread
• link_ups: number of upvotes on thread

Engineered from scraped data

• link_created_time: time thread was created
• time_since_link: time since the thread was created
• is_root: whether or the comment is a parent
• is_selftext: whether or not thread comment is on had selftext
• parent_cos_angle: consine similarity between comment and its parent comment's embeddings
• title_cos_angle: consine similarity between comment and its thread's title's embeddings

Benchmark v3 Feautures

• no_past_comments: number of comments on thread before this comment was posted
• score_till_now: score of thread at the time this comment was posted