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THIS ACKNOWLEDGES THAT
HAS COMPLETED THE MAY-SUMMER 2024 DATA SCIENCE BOOT CAMP
Eunbin Kim
Roman Holowinsky, PhD
JUNE 10, 2024
DIRECTOR
DATE
TEAM
Predicting mental health treatment decisions from social media
Eunbin Kim, Alejandra Dashe, Emelie Curl, Mitch Hamidi, Gabriel Khan
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,