Exploring the language features and content of self-diagnosed mental health disorders on Twitter: A social computing approach
Author:
Affiliation:
1. Young Innovators Research Center, Mapúa University, Philippines
2. Center for Teaching and Learning, Mapúa University, Philippines and Department of Psychology, School of Health Sciences, Mapúa University, Philippines
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3678726.3678769
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1. Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach
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3. Ethical issues in using Twitter for population-level depression monitoring: a qualitative study
4. Analysis of Sentiments and Emotions Attributes of COVID-19-related tweets in the Philippines Using time-Series Analysis
5. Functions of and Communication Behavior on Twitter after the 2015 Nepal Earthquake;Malasig Bryan James C.;Jurnal Komunikasi: Malaysian Journal of Communication,2016
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