Analysis of Social Media Posts Related to Postpartum Depression a Summary Protocol on How to Develop a Remote Laboratory


DOI: https://doi.org/10.15308/Sinteza-2022-14-19
Authors:
Ulfeta Marovac
Aldina Avdić

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Keywords:
Social media, Postpartum depression, Machine learning, Topic analysis.


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.

CITATION:

IEEE format

U. Marovac, A. Avdić, “Analysis of Social Media Posts Related to Postpartum Depression a Summary Protocol on How to Develop a Remote Laboratory,” in Sinteza 2022 - International Scientific Conference on Information Technology and Data Related Research, Belgrade, Singidunum University, Serbia, 2022, pp. 14-19. doi:10.15308/Sinteza-2022-14-19

APA format

Marovac, U., Avdić, A. (2022). Analysis of Social Media Posts Related to Postpartum Depression a Summary Protocol on How to Develop a Remote Laboratory. Paper presented at Sinteza 2022 - International Scientific Conference on Information Technology and Data Related Research. doi:10.15308/Sinteza-2022-14-19

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