Table 1 Features extracted from Pushshift API together with processed features
From: Dank or not? Analyzing and predicting the popularity of memes on Reddit
Feature | Type | Description | |
|---|---|---|---|
1 | created_utc | utc timestamp | Time of post submission |
2 | ups | integer | Number of upvotes received |
3 | is_nsfw | Boolean | Indicates if only suitable for 18+ |
4 | subreddit | String | Subreddit of the submission |
5 | subscribers | Integer | Number of subscribers to the subreddit |
6 | thumbnail.height | Floating point value | Height of the thumbnail |
7 | thumbnail.thumbnail | String | Thumbnail media |
8 | thumbnail.widith | Floating point value | Width of thumbnail |
9 | title | string | Title of the submission |
10 | media | String | Link to associated meme media |
11 | ups_normed | Floating point value | ups normalized with subscribers |
12 | dankornot | Integer | Label ups_normed for binary classification |
13 | processed_words | List of strings | Filtered and stemmed words from title and image |
14 | word_count | Integer | Number of words in title and image |
15 | TextLength | Integer | Number of characters in title |
16 | Sentiment | Floating point value | Text valence score |
17 | avg_H | Floating point value | Average HSV hue value of meme |
18 | avg_S | Floating point value | Average HSV saturation value of meme |
19 | avg_V | Floating point value | Average HSV value value of meme |
20 | 30 colors | Floating point value | Normalized pixels of color in image |
21 | VGG_features | List of strings | VGG-16’s first three guesses about image content |
22 | VGG_probs | List of floating point values | The probabilities of the VGG-16’s first three guesses |