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        <title>EMBEDDIA hackathon report: Automatic sentiment and viewpoint analysis of Slovenian news corpus on the topic of LGBTIQ+</title>
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        <namePart type="given">Matej</namePart>
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    <name type="personal">
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        <namePart type="given">Andreja</namePart>
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            <title>Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation</title>
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            <namePart type="given">Hannu</namePart>
            <namePart type="family">Toivonen</namePart>
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            <namePart type="given">Michele</namePart>
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    <abstract>We conduct automatic sentiment and viewpoint analysis of the newly created Slovenian news corpus containing articles related to the topic of LGBTIQ+ by employing the state-of-the-art news sentiment classifier and a system for semantic change detection. The focus is on the differences in reporting between quality news media with long tradition and news media with financial and political connections to SDS, a Slovene right-wing political party. The results suggest that political affiliation of the media can affect the sentiment distribution of articles and the framing of specific LGBTIQ+ specific topics, such as same-sex marriage.</abstract>
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%0 Conference Proceedings
%T EMBEDDIA hackathon report: Automatic sentiment and viewpoint analysis of Slovenian news corpus on the topic of LGBTIQ+
%A Martinc, Matej
%A Perger, Nina
%A Pelicon, Andraž
%A Ulčar, Matej
%A Vezovnik, Andreja
%A Pollak, Senja
%Y Toivonen, Hannu
%Y Boggia, Michele
%S Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation
%D 2021
%8 April
%I Association for Computational Linguistics
%C Online
%F martinc-etal-2021-embeddia
%X We conduct automatic sentiment and viewpoint analysis of the newly created Slovenian news corpus containing articles related to the topic of LGBTIQ+ by employing the state-of-the-art news sentiment classifier and a system for semantic change detection. The focus is on the differences in reporting between quality news media with long tradition and news media with financial and political connections to SDS, a Slovene right-wing political party. The results suggest that political affiliation of the media can affect the sentiment distribution of articles and the framing of specific LGBTIQ+ specific topics, such as same-sex marriage.
%U https://aclanthology.org/2021.hackashop-1.17
%P 121-126

Markdown (Informal)

[EMBEDDIA hackathon report: Automatic sentiment and viewpoint analysis of Slovenian news corpus on the topic of LGBTIQ+](https://aclanthology.org/2021.hackashop-1.17) (Martinc et al., Hackashop 2021)

• EMBEDDIA hackathon report: Automatic sentiment and viewpoint analysis of Slovenian news corpus on the topic of LGBTIQ+ (Martinc et al., Hackashop 2021)

ACL

• Matej Martinc, Nina Perger, Andraž Pelicon, Matej Ulčar, Andreja Vezovnik, and Senja Pollak. 2021. EMBEDDIA hackathon report: Automatic sentiment and viewpoint analysis of Slovenian news corpus on the topic of LGBTIQ+. In Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, pages 121–126, Online. Association for Computational Linguistics.