In this paper we describe our system, experiments and re-
sults from our participation in the Blog Track at TREC
2008. Dublin City University participated in the adhoc re-
trieval, opinion finding and polarised opinion finding tasks.
For opinion finding, we used a fusion of approaches based
on lexicon features, surface features and syntactic features.
Our experiments evaluated the relative usefulness of each of
the feature sets and achieved a significant improvement on
the baseline.
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Dublin City University ->
Publication Type = Conference or Workshop Item
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Dublin City University ->
Subject = Computer Science
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Dublin City University ->
DCU Faculties and Centres = Research Initiatives and Centres: Centre for Digital Video Processing (CDVP)
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Dublin City University ->
Status = Published
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Dublin City University ->
DCU Faculties and Centres = Research Initiatives and Centres: CLARITY: The Centre for Sensor Web Technologies
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Dublin City University ->
DCU Faculties and Centres = Research Initiatives and Centres: National Centre for Language Technology (NCLT)
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Dublin City University ->
Subject = Computer Science: Computational linguistics
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Dublin City University ->
Subject = Computer Science: Information retrieval
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Dublin City University ->
Subject = Computer Science: Machine learning
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Dublin City University ->
DCU Faculties and Centres = Research Initiatives and Centres
Deirdre Hogan,
Jennifer Foster,
Alan F. Smeaton,
Adam Bermingham