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| Authors |
Jacobo Rouces Nina Tahmasebi Lars Borin Stian Rødven Eide |
|---|---|
| Published in | LREC 2018, Eleventh International Conference on Language Resources and Evaluation |
| 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 | Linguistics, Language Technology (Computational Linguistics), Languages and Literature, Computational linguistics, Swedish language |
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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