Natural Language Processing to determine Reddit Post Engagement and Karma Score

Project Description

Creating a dataset derived from live web data: Utilizing Machine learning along with the Python requests library, multiple models were built and tested to the scopes. A Logistic Regression Model showed that a post could be inferred to meet the target amount of comments with 73% accuracy. This fulfilled scope #1.

Using the same data, a Logistic Regression model was then used again to model a post score greater than the target. This model was able to reach 95.4% accuracy of predicting a posts score based on the subreddit and title words.