Analysis of Social Media Posts Related to Postpartum Depression a Summary Protocol on How to Develop a Remote Laboratory, https://phaidrabg.bg.ac.rs/o:35327 doi:10.15308/Sinteza-2022-14-19 eng 2022 Abstract: Analysing the content of posts from social networks related to specific health problems can contribute to improving the health of the general population. This study gives an analysis of posts related to postpartum depression, which was performed to automatically detect content that correlates with postpartum depression. Machine learning methods can be used to detect posts that correlate with postpartum depression. The specificity of the language in which the posts are written reduces the availability of training corpora and processing tools. In this paper, a topic analysis is provided and a model for the prediction of postpartum depression in posts using a corpus composed of posts from the Reddit and ana. rs forums is presented. All rights reserved Keywords: Social media, Postpartum depression, Machine learning, Topic analysis. Marovac, Ulfeta Avdić, Aldina info:eu-repo/semantics/article application/pdf 931121 bytes Sinteza 2022 - International Scientific Conference on Information Technology and Data Related Research startpage: 14 endpage: 19