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Generating a Gold Standard for a Swedish Sentiment Lexicon

Conference paper
Authors Jacobo Rouces
Nina Tahmasebi
Lars Borin
Stian Rødven Eide
Published in LREC 2018, Eleventh International Conference on Language Resources and Evaluation, May 7-12, 2018, Miyazaki (Japan)
ISBN 979-10-95546-00-9
Publisher ELRA
Place of publication Miyazaki
Publication year 2018
Published at Department of Literature, History of Ideas, and Religion
Department of Swedish
Language en
Links www.lrec-conf.org/proceedings/lrec2...
Keywords sentiment analysis, Swedish, lexical resource, lexicon , language technology
Subject categories Swedish language, Computational linguistics, Languages and Literature, Language Technology (Computational Linguistics), Linguistics

Abstract

We create a gold standard for sentiment annotation of Swedish terms, using the freely available SALDO lexicon and the Gigaword corpus. For this purpose, we employ a multi-stage approach combining corpus-based frequency sampling, direct score annotation and Best-Worst Scaling. In addition to obtaining a gold standard, we analyze the data from our process and we draw conclusions about the optimal sentiment model.

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Denna text är utskriven från följande webbsida:
http://www.gu.se/english/research/publication/?publicationId=264719
Utskriftsdatum: 2019-09-17