In our research we aimed at gathering and automatically classifying online forum posts into the above three framing types by applying different supervised learning algorithms. As our dataset, we decided to use depression-related posts from the most popular English-speaking health forums within the time interval 2016-2018. We obtained only publicly available posts, which are shared willingly by their authors. We used Python to implement our analyses. After pre-processing and feature extraction, the scikit-learn library was used with different algorithms (SVM, Naive Bayes, Logistic Regression and Decision Trees). Our poster can be downloaded here.
