##Description:
This project is all about understanding Reddit's many twists and turns through webscraping, natural language processing, and model building. To this end I analyzed posts from r/tifu and r/NoStupidQuestions, returning with a perfect model, which I then made less perfect by intentionally removing some key features, and working the model again until it was mostly perfect.
Data Dictionary:
| Name | Use |
|---|---|
| subreddit_tifu | 1 for tifu, 0 for NoStupidQuestions |
| Id | Post ID to make sure there were no duplicates |
| Author | Author of the post at hand |
| selftext | text inside of post, if any |
| title | Title of post |
| text | combination of selftext and title, to feed into the model |
| line_count | Total number of times enter was pressed, denoted in the text as /n |
See attached Executive Summary