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Discovering core terms for effective short text clustering

Yang, Shuiqiao 2019, Discovering core terms for effective short text clustering, Ph.D. thesis, School of Information Technology, Deakin University.

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Title Discovering core terms for effective short text clustering
Author Yang, Shuiqiao
Institution Deakin University
School School of Information Technology
Faculty Faculty of Science, Engineering and Built Environment
Degree type Research doctorate
Degree name Ph.D.
Thesis advisor Huang, GuangyanORCID iD for Huang, Guangyan orcid.org/0000-0002-1821-8644
Xiang, YangORCID iD for Xiang, Yang orcid.org/0000-0001-5252-0831
Date submitted 2019-12-17
Summary This thesis aims to address the current limitations in short texts clustering and provides a systematic framework that includes three novel methods to effectively measure similarity of two short texts, efficiently group short texts, and dynamically cluster short text streams.
Language eng
Indigenous content off
Field of Research 080109 Pattern Recognition and Data Mining
080704 Information Retrieval and Web Search
Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture)
Description of original 145 p.
Copyright notice ┬ęThe author
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30150012

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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.