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Roman, Norton Trevisan; Piwek, Paul; Carvalho, Ariadne Maria Brito Rizzoni and Alvares, Alexandre Rossi
(2015).
DOI: https://doi.org/10.3217/jucs-021-04-0561
Abstract
This paper proposes a scheme for sentiment annotation. We show how the task can be made tractable by focusing on one of the many aspects of sentiment: sentiment as it is recorded in behaviour reports of people and their interactions. Together with a number of measures for supporting the reliable application of the scheme, this allows us to obtain sufficient to good agreement scores (in terms of Krippendorf's alpha) on three key dimensions: polarity, evaluated party and type of clause. Evaluation of the scheme is carried out through the annotation of an existing corpus of dialogue summaries (in English and Portuguese) by nine annotators. Our contribution to the field is twofold: (i) a reliable multi-dimensional annotation scheme for sentiment in behaviour reports; and (ii) an annotated corpus that was used for testing the reliability of the scheme and which is made available to the research community.
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- Item ORO ID
- 43294
- Item Type
- Journal Item
- ISSN
- 0948-6968
- Project Funding Details
-
Funded Project Name Project ID Funding Body Not Set Not Set CNPq (Conselho Nacional de Desenvolvimento Cient´ıfico e Tecnol´ogico Not Set Not Set CAPE (Coordena¸cao de Aperfeicoamento de Pessoal de Nıvel Superior Project NECA IST-2000-28580 Not Set EC Not Set Not Set Programa de Educacao Tutorial (PET) – MEC/ SESu - Keywords
- automatic dialogue summarisation; computational linguistics; corpus annotation; natural language processing; sentiment analysis
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Research Group
- Centre for Research in Computing (CRC)
- Copyright Holders
- © 2015 Journal of Universal Computer Science
- Depositing User
- Paul Piwek