Redditors in Recovery: Text Mining Reddit to Investigate Transitions into Drug Addiction
TABLE VI: Transition Model Features
['[BOLD] Post Content', 'p-value', '[BOLD] CAS Group Mean', '[BOLD] CAS Group Std.', '[BOLD] CAS Group 25%', '[BOLD] CAS Group 50%', '[BOLD] CAS Group 75%', '[BOLD] CAS→RECOV Mean', '[BOLD] CAS→RECOV Std.', '[BOLD] CAS→RECOV 25%', '[BOLD] CAS→RECOV 50%', '[BOLD] CAS→RECOV 75%']
In applying a machine learning model for predicting users’ transition from CAS→RECOV, each user should be represented by a vector. For this purpose, we extract various features from a user’s posts, including dense embedding vectors obtained through Doc2Vec, linguistic characteristics of user posts, and drug utterances in the post. For the last two kinds of features, we use Kruskal-Wallis statistical test to determine which drug utterances and linguistic measures are significantly different between the CAS and CAS→RECOV classes. Tables