Nonparametric Bayesian Topic Modelling with Auxiliary Data

189 Pages·2016·2.45 MB·English

Nonparametric Bayesian Topic
Modelling with Auxiliary Data
Kar Wai Lim
A thesis submitted for the degree of
Doctor of Philosophy of
The Australian National University
July 2016
c 2016 Kar Wai Lim
(cid:13)
All Rights Reserved
Except where otherwise indicated, this dissertation is my own original work.
Kar Wai Lim
24 July 2016

Supervisor
Wray Buntine
Professor, Monash University
Melbourne, VIC, Australia
Advisors
Edwin Bonilla
Senior Lecturer, The University of New South Wales
Sydney, NSW, Australia
Hanna Suominen
Senior Researcher, NICTA
Adjunct Assistant Professor, The Australian National University
Professional Associate, University of Canberra
Adjunct Professor, University of Turku (Finland)
Canberra ACT, Australia
Scott Sanner
Assistant Professor, Oregon State University
Oregon, OR, United States

To my family.

Acknowledgments
First, I would like to express my deepest gratitude to my supervisor, Wray Buntine,
for the support and inspiration during my doctoral study. This dissertation would
not be possible if not for his dedication and invaluable advice. I would also like
to thank my advisors, Edwin Bonilla, Hanna Suominen, and Scott Sanner, for their
commentsinandoutofresearch. Inaddition, Igivethankstotheresearchersforthe
interaction through visits and conferences.
My sincere thanks also goes to the Australian National University and NICTA
for the financial support by way of a scholarship. In particular, I am grateful to
Jochen Renz and Bob Williamson for supporting my application. I also appreciate
thevariousassistance,encouragements,andmoralsupportsfromtheuniversitystaff,
NICTA employees, my peers, and my friends. Finally, I thank my family.
NICTA is funded by the Australian Government through the Department of Com-
munications and the Australian Research Council through the ICT Centre of Excel-
lence Program.
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