PhD Studentship in Sentiment Analysis
Constantin Orasan
C.Orasan at wlv.ac.uk
Do Nov 12 12:11:25 CET 2009
PhD Studentship in Sentiment Analysis
Developing advanced sentiment analysis techniques for online data
The objective of the PhD is to develop advanced sentiment analysis
methods for online text. The study will connect to the EU CyberEmotions
(http://www.cyberemotions.eu/) project and the candidate should be
prepared for travel within the EU.
The successful candidate will have knowledge of opinion mining or
sentiment analysis and a background in computational linguistics or
information retrieval.
Essential: Degree in information science, computer science or
computational linguistics.
Desirable: Master’s degree. Experience of writing scientific articles
and programming.
Statistical Cybermetrics Research Group
The research group hosting the PhD are world leaders in webometrics -
the development of large scale methods to extract and analyse data from
the web. The research group was placed joint second in the UK in the
current national Research Assessment Exercise in the Library and
Information Management category. Despite the extensive use of computing,
the group has social science rather than computer science research
goals. (More information at http://cybermetrics.wlv.ac.uk)
How to Apply
The studentship will run for up to three years, subject to satisfactory
progress, with an expected bursary of £12,900 p.a. To apply, email the
group head Mike Thelwall (m.thelwall at wlv.ac.uk) with a maximum of 200
words stating why you would like the post and attaching a recent C.V.
Applicants from outside of the UK are welcome. The deadline for receipt
of an email is 30 November, 2009. Candidates selected for further
consideration will be sent a reply email within 48 hours of the receipt
of their original email. Non-receipt of an email means that you have not
been shortlisted.
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Dr. Constantin Orasan <C.Orasan at wlv.ac.uk>
Senior Lecturer in Computational Linguistics
Research Group in Computational Linguistics
http://www.wlv.ac.uk/~in6093/
University of Wolverhampton
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