In this paper we describe our work in the area of topic-based sentiment analysis in the domain of financial blogs. We explore the use of paragraph-level and document-level annotations, examining how additional information from paragraph-level annotations can be used to increase the accuracy of document-level sentiment classification. We acknowledge the additional effort required to provide these paragraph-level annotations, and so we compare these findings against an automatic means of generating topic-specific sub-documents.
Ireland ->
Dublin City University ->
DCU Faculties and Centres = Research Initiatives and Centres: Centre for Digital Video Processing (CDVP)
Ireland ->
Dublin City University ->
Subject = Computer Science: Information storage and retrieval systems
Ireland ->
Dublin City University ->
DCU Faculties and Centres = Research Initiatives and Centres: National Centre for Language Technology (NCLT)
Ireland ->
Dublin City University ->
Status = In Press
Ireland ->
Dublin City University ->
DCU Faculties and Centres = Research Initiatives and Centres
Ireland ->
Dublin City University ->
Publication Type = Conference or Workshop Item
Ireland ->
Dublin City University ->
DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing: School of Computing
Ireland ->
Dublin City University ->
Subject = Computer Science
Ireland ->
Dublin City University ->
DCU Faculties and Centres = DCU Faculties and Schools
Ireland ->
Dublin City University ->
Subject = Computer Science: World Wide Web
Ireland ->
Dublin City University ->
DCU Faculties and Centres = Research Initiatives and Centres: CLARITY: The Centre for Sensor Web Technologies
Ireland ->
Dublin City University ->
Subject = Computer Science: Information retrieval
Ireland ->
Dublin City University ->
DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing
Ireland ->
Dublin City University ->
Subject = Computer Science: Machine learning
Alan F. Smeaton,
Cathal Gurrin,
Paraic Sheridan,
Adam Bermingham,
Michael Davy,
Neil O'Hare,
Paul Ferguson