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ABSTRACT: Introduction
The purpose of this study was to use text-based social media content analysis from cancer-specific subreddits to evaluate depression and anxiety-loaded content. Natural language processing, automatic, and lexicon-based methods were employed to perform sentiment analysis and identify depression and anxiety-loaded content.Methods
Data was collected from 187 Reddit users who had received a cancer diagnosis, were currently undergoing treatment, or had completed treatment. Participants were split according to survivorship status into short-term, transition, and long-term cancer survivors. A total of 72524 posts were analyzed across the three cancer survivor groups.Results
The results showed that short-term cancer survivors had significantly more depression-l
SUBMITTER: Podina IR
PROVIDER: S-EPMC10326387 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature