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Ingrid Zukerman <[log in to unmask]>
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Ingrid Zukerman <[log in to unmask]>
Wed, 3 Sep 2008 23:33:40 +1000
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PhD Studentship in Language Technology, Monash University, Australia

The User Modeling and Natural Language (UMNL) Group at Monash University
has been granted an ARC Linkage Grant for a project entitled "Sentiment
detection from opinion surveys -- the quest for customer and employee
satisfaction".  This project has a Melbourne-based industry partner,
GAPbuster Worldwide, who is a leading provider of customer experience
management solutions. The project will address current challenges in
automatic sentiment detection, including determining whether discourse
is subjective, and if so, its topic, polarity, intensity and usefulness.
Sentiment detection is used for discriminating fact from opinion in
information gathering applications, and extracting prevalent opinions
about items. The aim of the project is to develop computational
mechanisms that detect sentiment from texts, and summarize the sentiment
expressed in multiple texts. The developed techniques will be applied to
textual feedback provided by customers and employees about different
aspects of service industries. The PhD student will focus on novel
techniques for detecting polarity, intensity and usefulness, using
Machine Learning techniques such as classification, bootstrapping and
data compression.  This is an excellent opportunity to work on a project
with strong practical as well as theoretical merits, while closely
interacting with a commercial organization.

Successful candidates will have a 1st class honours degree in Computer
Science, Statistics or equivalent, or a Masters degree with a major
research component, an exceptional academic record, excellent
programming skills, strong written and verbal communications skills, and
an ability to work in a team environment.

The scholarship is available for Australian citizens and permanent
residents and New Zealand citizens, for a period of 3 years, at
$25,627 per annum. The studentship must be taken up by March 31, 2009 at
the latest. For further information and applications please contact Prof
Ingrid Zukerman by email at [log in to unmask]

Deadline for application is October 31, 2008.

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