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Social media as sensor for healthcare: A machine learning approach

Dao, Duy 2016, Social media as sensor for healthcare: A machine learning approach, PhD. thesis, School of Information Technology, Deakin University.

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Title Social media as sensor for healthcare: A machine learning approach
Author Dao, Duy
Institution Deakin University
School School of Information Technology
Faculty Faculty of Science, Engineering and Built Environment
Degree type Research doctorate
Degree name PhD.
Thesis advisor Nguyen, ThinORCID iD for Nguyen, Thin orcid.org/0000-0003-3467-8963
Phung, DinhORCID iD for Phung, Dinh orcid.org/0000-0002-9977-8247
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Date submitted 2016-07
Keyword(s) Social media
Mental health
On-line communities
Data mining
Health prevention
Summary This thesis advances the area of applied machine learning, sentiment and psycholinguistic analysis in social media for health analytics. In particular, the thesis views social media as a gigantic form of 'sensor' to inform about mental health community and related topics.
Language eng
Field of Research 080109 - Pattern Recognition and Data Mining 80%
080699 - Information Systems not elsewhere classified 20%
Socio Economic Objective 970108 - Expanding Knowledge in the Information and Computing Sciences 40%; 920209 - Mental Health Services 0%; 970109 - Expanding Knowledge in Engineering 30%; 970110 - Expanding Knowledge in Technology 30%
Description of original xxvi, 234 pages :
Copyright notice ┬ęThe Author. All Rights Reserved.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30089427

Document type: Thesis
Collection: Higher degree theses (citation only)
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Created: Mon, 28 Nov 2016, 08:21:14 EST by Deb Gray

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