Predicting the performance of /r/AskReddit submissions.

EECS 349 project by:

• Sarah Lim
• Aiqi Liu
• Jennie Werner
• Sameer Srivastava

With Python installed, you can pull a new batch of data by executing query.py from the terminal:

./query.py

query.py allows you to specify a subreddit, a sortview, and a number of posts, fetches information about the corresponding posts, and writes the output to a timestamped CSV file.

By default, query.py executes the following parameters:

• Subreddit: "AskReddit"
• Sort view: "hot"
• Number of posts: 25

CSV files are saved to the /output directory.

query.py returns the following attributes:

• title (string)
• title_length (numerical)
• serious (binary)
• nsfw (binary)
• post_utcTime (numerical)
• post_localTime (numerical)
• time_to_first_comment (numerical)
• author_gold (binary)
• author_account_age (numerical)
• author_link_karma (numerical)
• author_comment_karma (numerical)

• Make sure it works for "non-hot" data
• Implement duplicate detection and removal for posts...honestly, figure out what to do with duplicates to begin with lol
• Set up as a cron job on raspberry pi
• Run keyword occurences
• Figure out strategies for sentiment and topic category analysis