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        <title>Annotating evaluative sentences for sentiment analysis: a dataset for Norwegian</title>
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        <namePart type="given">Petter</namePart>
        <namePart type="family">Mæhlum</namePart>
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    <name type="personal">
        <namePart type="given">Jeremy</namePart>
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    <name type="personal">
        <namePart type="given">Lilja</namePart>
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    <name type="personal">
        <namePart type="given">Erik</namePart>
        <namePart type="family">Velldal</namePart>
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        <dateIssued>2019-sep–oct</dateIssued>
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            <title>Proceedings of the 22nd Nordic Conference on Computational Linguistics</title>
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            <namePart type="given">Mareike</namePart>
            <namePart type="family">Hartmann</namePart>
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            <namePart type="given">Barbara</namePart>
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            <publisher>Linköping University Electronic Press</publisher>
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    <abstract>This paper documents the creation of a large-scale dataset of evaluative sentences – i.e. both subjective and objective sentences that are found to be sentiment-bearing – based on mixed-domain professional reviews from various news-sources. We present both the annotation scheme and first results for classification experiments. The effort represents a step toward creating a Norwegian dataset for fine-grained sentiment analysis.</abstract>
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        <url>https://aclanthology.org/W19-6113</url>
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%0 Conference Proceedings
%T Annotating evaluative sentences for sentiment analysis: a dataset for Norwegian
%A Mæhlum, Petter
%A Barnes, Jeremy
%A Øvrelid, Lilja
%A Velldal, Erik
%Y Hartmann, Mareike
%Y Plank, Barbara
%S Proceedings of the 22nd Nordic Conference on Computational Linguistics
%D 2019
%8 sep–oct
%I Linköping University Electronic Press
%C Turku, Finland
%F maehlum-etal-2019-annotating
%X This paper documents the creation of a large-scale dataset of evaluative sentences – i.e. both subjective and objective sentences that are found to be sentiment-bearing – based on mixed-domain professional reviews from various news-sources. We present both the annotation scheme and first results for classification experiments. The effort represents a step toward creating a Norwegian dataset for fine-grained sentiment analysis.
%U https://aclanthology.org/W19-6113
%P 121-130

Markdown (Informal)

[Annotating evaluative sentences for sentiment analysis: a dataset for Norwegian](https://aclanthology.org/W19-6113) (Mæhlum et al., NoDaLiDa 2019)

• Annotating evaluative sentences for sentiment analysis: a dataset for Norwegian (Mæhlum et al., NoDaLiDa 2019)

ACL

• Petter Mæhlum, Jeremy Barnes, Lilja Øvrelid, and Erik Velldal. 2019. Annotating evaluative sentences for sentiment analysis: a dataset for Norwegian. In Proceedings of the 22nd Nordic Conference on Computational Linguistics, pages 121–130, Turku, Finland. Linköping University Electronic Press.