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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 To appear in Language Resources and Evaluation Conference (LREC2018)
Publication year 2018
Published at Department of Literature, History of Ideas, and Religion
Department of Swedish
Language en
Subject categories Language Technology (Computational Linguistics), Languages and Literature


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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