From the July-September 2014 issue
Affective and Content Analysis of Online Depression Communities
By Thin Nguyen, Dinh Phung, Bo Dao, Svetha Venkatesh, and Michael Berk
A large number of people use online communities to discuss mental health issues, thus offering opportunities for new understanding of these communities. This paper aims to study the characteristics of online depression communities (CLINICAL) in comparison with those joining other online communities (CONTROL). We use machine learning and statistical methods to discriminate online messages between depression and control communities using mood, psycholinguistic processes and content topics extracted from the posts generated by members of these communities. All aspects including mood, the written content and writing style are found to be significantly different between two types of communities. Sentiment analysis shows the clinical group have lower valence than people in the control group. For language styles and topics, statistical tests reject the hypothesis of equality on psycholinguistic processes and topics between two groups. We show good predictive validity in depression classification using topics and psycholinguistic clues as features. Clear discrimination between writing styles and contents, with good predictive power is an important step in understanding social media and its use in mental health.
Editorials and Announcements
- Dr. Björn W. Schuller Announced as New Editor-in-Chief of the IEEE Transactions on Affective Computing. Dr. Schuller is a senior lecturer in the Department of Computing at Imperial College London, United Kingdom, a tenured faculty member heading the Machine Intelligence and Signal Processing Group at the Munich University of Technology (TUM), and the founding CEO of audEERING UG. He is best known for his work advancing machine intelligence and data mining, information systems and retrieval for spoken and written language, and affective and mobile computing.
- TAC is now indexed in ISI. According to Thomson Reuters' 2013 Journal Citation Report, TAC has an impact factor of 3.466
- TAC celebrates its 5th Anniversary
- Get Your Journals as eBooks for Free
- The fifth biannual Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII 2013) will be held in Geneva, Switzerland on September 2-5, 2013
- eBooks of issues of TAC can now be downloaded from the Computer Society Digital Library
- Transactions on Affective Computing 2010 Annual Index is now available. (PDF)
- Dr. Jonathan Gratch Featured in April's Volunteer Spotlight
- Affect and Wellbeing: Introduction to Special Section (July-Sept 2014)
- Editorial for the Special Section on Ethics and Affective Computing
- Introduction to the Affect-Based Human Behavior Understanding Special Issue
- Affective Computing: From Laughter to IEEE by R.W. Picard
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TAC is indexed in ISI
IEEE Transactions on Affective Computing (TAC) is intended to be a cross disciplinary and international archive journal aimed at disseminating results of research on the design of systems that can recognize, interpret, and simulate human emotions and related affective phenomena.
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