Detecting topic labels for tweets by matching features from pseudo-relevance feedback

Zhang, Jing, Liu, Derek, Ong, Kok-Leong, Li, Zhijie and Li, Ming 2012, Detecting topic labels for tweets by matching features from pseudo-relevance feedback, in AusDM 2012 : Proceedings of the Tenth Austalasian Data Mining Conference, Australian Computer Society Inc., Sydney, N.S.W., pp. 9-20.

Attached Files
Name Description MIMEType Size Downloads

Title Detecting topic labels for tweets by matching features from pseudo-relevance feedback
Author(s) Zhang, Jing
Liu, Derek
Ong, Kok-Leong
Li, Zhijie
Li, Ming
Conference name Australasian Data Mining. Conference (10th : 2012 : Sydney, N.S.W.)
Conference location Sydney, N.S.W.
Conference dates 5-7 Dec. 2012
Title of proceedings AusDM 2012 : Proceedings of the Tenth Austalasian Data Mining Conference
Editor(s) Zhao, Yanchang
Li, Jiuyong
Kennedy, Paul J.
Christen, Peter
Publication date 2012
Series Conferences in Research and Practice in Information Technology; vol. 134
Conference series Australasian Data Mining Conference
Start page 9
End page 20
Total pages 12
Publisher Australian Computer Society Inc.
Place of publication Sydney, N.S.W.
Keyword(s) Tweets
Topic Detection
Short Texts
Pseudo-Relevance Feed- back
Twitter
ISBN 9781921770142
ISSN 1445-1336
Language eng
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30050313

Document type: Conference Paper
Collection: School of Information Technology
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
Access Statistics: 81 Abstract Views, 3 File Downloads  -  Detailed Statistics
Created: Fri, 25 Jan 2013, 11:53:42 EST by Kok-Leong Ong

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.