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Annotating evaluative sentences for sentiment analysis: a dataset for Norwegian

Petter Mæhlum
Department of Informatics, University of Oslo, Norway

Jeremy Barnes
Department of Informatics, University of Oslo, Norway

Lilja Øvrelid
Department of Informatics, University of Oslo, Norway

Erik Velldal
Department of Informatics, University of Oslo, Norway

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Ingår i: Proceedings of the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa), September 30 - October 2, Turku, Finland

Linköping Electronic Conference Proceedings 167:13, s. 121--130

NEALT Proceedings Series 42:13, s. 121--130

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Publicerad: 2019-10-02

ISBN: 978-91-7929-995-8

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

This paper documents the creation of a large-scale dataset of evaluative sentences – i.e. both subjective and objective sentences that are found to be sentiment-bearing – based on mixed-domain professional reviews from various news-sources. We present both the annotation scheme and first results for classification experiments. The effort represents a step toward creating a Norwegian dataset for fine-grained sentiment analysis.

Nyckelord

sentiment sentiment analysis Norwegian Annotation

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