@inproceedings{schneidermann-pedersen-2022-evaluating,
title = "Evaluating a New {D}anish Sentiment Resource: the {D}anish Sentiment Lexicon, {DSL}",
author = "Schneidermann, Nina and
Pedersen, Bolette",
editor = "Kernerman, Ilan and
Carvalho, Sara and
Iglesias, Carlos A. and
Sprugnoli, Rachele",
booktitle = "Proceedings of the 2nd Workshop on Sentiment Analysis and Linguistic Linked Data",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.salld-1.4",
pages = "19--24",
abstract = "In this paper, we evaluate a new sentiment lexicon for Danish, the Danish Sentiment Lexicon (DSL), to gain input regarding how to carry out the final adjustments of the lexicon. A feature of the lexicon that differentiates it from other sentiment resources for Danish is that it is linked to a large number of other Danish lexical resources via the DDO lemma and sense inventory and the LLOD via the Danish wordnet, DanNet. We perform our evaluation on four datasets labeled with sentiments. In addition, we compare the lexicon against two existing benchmarks for Danish: the Afinn and the Sentida resources. We observe that DSL performs mostly comparably to the existing resources, but that more fine-grained explorations need to be done in order to fully exploit its possibilities given its linking properties.",
}
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%0 Conference Proceedings
%T Evaluating a New Danish Sentiment Resource: the Danish Sentiment Lexicon, DSL
%A Schneidermann, Nina
%A Pedersen, Bolette
%Y Kernerman, Ilan
%Y Carvalho, Sara
%Y Iglesias, Carlos A.
%Y Sprugnoli, Rachele
%S Proceedings of the 2nd Workshop on Sentiment Analysis and Linguistic Linked Data
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F schneidermann-pedersen-2022-evaluating
%X In this paper, we evaluate a new sentiment lexicon for Danish, the Danish Sentiment Lexicon (DSL), to gain input regarding how to carry out the final adjustments of the lexicon. A feature of the lexicon that differentiates it from other sentiment resources for Danish is that it is linked to a large number of other Danish lexical resources via the DDO lemma and sense inventory and the LLOD via the Danish wordnet, DanNet. We perform our evaluation on four datasets labeled with sentiments. In addition, we compare the lexicon against two existing benchmarks for Danish: the Afinn and the Sentida resources. We observe that DSL performs mostly comparably to the existing resources, but that more fine-grained explorations need to be done in order to fully exploit its possibilities given its linking properties.
%U https://aclanthology.org/2022.salld-1.4
%P 19-24
Markdown (Informal)
[Evaluating a New Danish Sentiment Resource: the Danish Sentiment Lexicon, DSL](https://aclanthology.org/2022.salld-1.4) (Schneidermann & Pedersen, SALLD 2022)
ACL