Depressive Emotion Detection and Behavior Analysis of Men Who Have Sex With Men via Social Media.

ABSTRACT:

Background

A large amount of evidence has indicated an association between depression and HIV risk among men who have sex with men (MSM), but traditional questionnaire-based methods are limited in timely monitoring depressive emotions with large sample sizes. With the development of social media and machine learning techniques, MSM depression can be well monitored in an online and easy-to-use manner. Thereby, we adopt a machine learning algorithm for MSM depressive emotion detection and behavior analysis with online social networking data.

Methods

A large-scale MSM data set including 664,335 users and over 12 million posts was collected from the most popular MSM-oriented geosocial networking mobile application named Blued. Also, a non-MSM Benchmark data set from Twitter was

SUBMITTER: Li Y 

PROVIDER: S-EPMC7456911 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature