Textual cues for online depression in community and personal settings

Nguyen, Thin, Venkatesh, Svetha and Phung, Dinh 2016, Textual cues for online depression in community and personal settings, in ADMA 2016 : Proceedings of the Advanced Data Mining and Applications Conference, Springer, Cham, Switzerland, pp. 19-34, doi: 10.1007/978-3-319-49586-6_2.

Attached Files
Name Description MIMEType Size Downloads

Title Textual cues for online depression in community and personal settings
Author(s) Nguyen, ThinORCID iD for Nguyen, Thin orcid.org/0000-0003-3467-8963
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Phung, DinhORCID iD for Phung, Dinh orcid.org/0000-0002-9977-8247
Conference name University of Adelaide. Conference (12th : 2016 : Gold Coast, Qld.)
Conference location Gold Coast, Qld.
Conference dates 2016/12/12 - 2016/12/15
Title of proceedings ADMA 2016 : Proceedings of the Advanced Data Mining and Applications Conference
Editor(s) Li, Jinyan
Li, Xue
Wang, Shuliang
Li, Jianxin
Sheng, Quan Z
Publication date 2016
Series University of Adelaide Conference
Start page 19
End page 34
Total pages 16
Publisher Springer
Place of publication Cham, Switzerland
Keyword(s) computer mediated communication
weblog
social media analysis
mental health
textual cues
affective norms
language styles
topics
ISBN 9783319495859
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-319-49586-6_2
Field of Research 08 Information And Computing Sciences
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2016, Springer International Publishing AG
Persistent URL http://hdl.handle.net/10536/DRO/DU:30093556

Document type: Conference Paper
Collection: Centre for Pattern Recognition and Data Analytics
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 77 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Mon, 23 Oct 2017, 08:29:58 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.