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Exploring the use of paragraph-level annotations for sentiment analysis of financial blogs

Ferguson, Paul and O'Hare, Neil and Davy, Michael and Bermingham, Adam and Sheridan, Páraic and Gurrin, Cathal and Smeaton, Alan F. (2009) Exploring the use of paragraph-level annotations for sentiment analysis of financial blogs. In: WOMAS 2009 - Workshop on Opinion Mining and Sentiment Analysis, 13 November 2009 , Seville, Spain . (In Press)

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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.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Uncontrolled Keywords:sentiment analysis; opinion mining;
Subjects:Computer Science > Machine learning
Computer Science > Information storage and retrieval systems
Computer Science > World Wide Web
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Research Initiatives and Centres > National Centre for Language Technology (NCLT)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Official URL:
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Enterprise Ireland, Science Foundation Ireland
ID Code:14934
Deposited On:13 Oct 2009 13:06 by Paul Ferguson. Last Modified 12 Jan 2017 12:24

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