Using classification and Natural Language Processing (NLP) to analyze web-scraped data from Reddit, can we (1) identify who is undergoing or interested in mental health treatment, and (2) predict preference for treatment?
Data Source: A Kaggle dataset of scraped Reddit posts and a team-created dataset of scraped comments from eight BPD-relevant subreddits using 89 keywords of interest.
Method: 1st within the BPD community, can we classify treatment relevant content based on the text data.
2nd can we identify predictors that of BPD individuals' preference for specific treatment plans/outcomes (e.g., demographic information, comorbidity). Classification, predictive modeling, NLP,