Abstract
Mental healthcare today represents a serious global challenge with not enough resources to allow for adequate patient support. As a result, many turn to the Internet for help, where mental health forums have become a rich resource of experiences shared by millions of users. This study applies aspect-based sentiment analysis on mental health forum posts in order to examine user sentiment regarding different mental health treatments. We shed light into the practices used by affected individuals to cope with mental issues and generate possible treatment recommendations.
Recommended Citation
Davcheva, Elena, "TEXT MINING MENTAL HEALTH FORUMS – LEARNING FROM USER EXPERIENCES" (2018). Research Papers. 91.
https://aisel.aisnet.org/ecis2018_rp/91