A project written in R and Python to mine a Reddit corpus and analyse Reddit sentiment.

1. Python 3
2. PRAW
3. requests
4. bs4
5. numpy
6. fuzzywuzzy
7. nltk
8. matplotlib

virtual environment recommended

1. R
2. sna
3. ggnetwork
4. svglite
5. igraph
6. intergraph
7. rsvg
8. ggplot2

Using the code from the network-graph directory, I would like to make a full network graph visualization of reddit subreddits. If I can find a way to mine post and/or comment data from hundreds of subreddits, I could map sentiment towards a given topic onto the network graph. It would be a really cool way to gauge the overall Reddit sentiment towards a controversial topic, and see how sentiment changes within Reddit sub-communities.

Mine a large corpus of posts and comments from politically charged subreddits like r/the_donald, r/the_mueller, r/democrats, and r/republican. Once I've mined the relevant data I could look graph the sentiment within each subreddit towards various controversial political figures and topics.

Associate each Reddit user with it's own corpus and then apply various clustering algorithms to see if there are any intrinsic clusters of Reddit users that can be looked at through sentiment analysis.

Inspiration from https://github.com/pranau97/reddit-opinion-mining and https://github.com/minimaxir/reddit-graph.