Reddit Word Frequency Utilities

get_comment_text.py

get_comment_text.py: scrape comment text from reddit.

Usage:
    get_comment_text.py user <username> -n num_comments
    get_comment_text.py subreddit [options] <subreddit_name> -n num_posts

Options:
    -n --num=<n>      Number of comments, or number of submissions to scrape.
    -s --sort=<type>  Type of sorting to use for subreddit comment scraping.
                      Sort types are: hot, top_year, top_month, top_week,
                      top_day, top_hour. [default: hot]
    -d --descend      Descend into the intially hidden comments.  Very slow.
    -h --help         Help message.
    -v --version      Version information.

word_frequency.py

word_frequency.py: Print a list of words that appear most frequently
                   in a file.

Usage:
    word_frequency.py [-n NUM_WORDS] <input_file>

Options:
    -h --help            Show this screen.
    -n --num-words=<n>   Number of most-frequently-used words [default: 25].

wordfilt.py

wordfilt.py: Library/utility for preparing text for word frequency analysis.

Usage: ./wordfilt.py [options] <file>

Options:
    -h --help   Show this help

Dependencies:

Python Modules:

• praw
• nltk
• docopt

NLTK packages

install with python -m nltk.downloader stopwords punkt wordnet

Required

corpora::stopwords
models::punkt

Optional

corpora::wordnet