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Authors |
Jacobo Rouces Nina Tahmasebi Lars Borin Stian Rødven Eide |
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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 |
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.