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    <titleInfo>
        <title>Expressively vulgar: The socio-dynamics of vulgarity and its effects on sentiment analysis in social media</title>
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    <name type="personal">
        <namePart type="given">Isabel</namePart>
        <namePart type="family">Cachola</namePart>
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        <namePart type="given">Eric</namePart>
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    <name type="personal">
        <namePart type="given">Daniel</namePart>
        <namePart type="family">Preoţiuc-Pietro</namePart>
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    <name type="personal">
        <namePart type="given">Junyi</namePart>
        <namePart type="given">Jessy</namePart>
        <namePart type="family">Li</namePart>
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            <title>Proceedings of the 27th International Conference on Computational Linguistics</title>
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            <namePart type="given">Emily</namePart>
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            <namePart type="family">Bender</namePart>
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            <namePart type="given">Leon</namePart>
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            <namePart type="given">Pierre</namePart>
            <namePart type="family">Isabelle</namePart>
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    <abstract>Vulgarity is a common linguistic expression and is used to perform several linguistic functions. Understanding their usage can aid both linguistic and psychological phenomena as well as benefit downstream natural language processing applications such as sentiment analysis. This study performs a large-scale, data-driven empirical analysis of vulgar words using social media data. We analyze the socio-cultural and pragmatic aspects of vulgarity using tweets from users with known demographics. Further, we collect sentiment ratings for vulgar tweets to study the relationship between the use of vulgar words and perceived sentiment and show that explicitly modeling vulgar words can boost sentiment analysis performance.</abstract>
    <identifier type="citekey">cachola-etal-2018-expressively</identifier>
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        <url>https://aclanthology.org/C18-1248</url>
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        <date>2018-08</date>
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%0 Conference Proceedings
%T Expressively vulgar: The socio-dynamics of vulgarity and its effects on sentiment analysis in social media
%A Cachola, Isabel
%A Holgate, Eric
%A Preoţiuc-Pietro, Daniel
%A Li, Junyi Jessy
%Y Bender, Emily M.
%Y Derczynski, Leon
%Y Isabelle, Pierre
%S Proceedings of the 27th International Conference on Computational Linguistics
%D 2018
%8 August
%I Association for Computational Linguistics
%C Santa Fe, New Mexico, USA
%F cachola-etal-2018-expressively
%X Vulgarity is a common linguistic expression and is used to perform several linguistic functions. Understanding their usage can aid both linguistic and psychological phenomena as well as benefit downstream natural language processing applications such as sentiment analysis. This study performs a large-scale, data-driven empirical analysis of vulgar words using social media data. We analyze the socio-cultural and pragmatic aspects of vulgarity using tweets from users with known demographics. Further, we collect sentiment ratings for vulgar tweets to study the relationship between the use of vulgar words and perceived sentiment and show that explicitly modeling vulgar words can boost sentiment analysis performance.
%U https://aclanthology.org/C18-1248
%P 2927-2938

Markdown (Informal)

[Expressively vulgar: The socio-dynamics of vulgarity and its effects on sentiment analysis in social media](https://aclanthology.org/C18-1248) (Cachola et al., COLING 2018)

• Expressively vulgar: The socio-dynamics of vulgarity and its effects on sentiment analysis in social media (Cachola et al., COLING 2018)

ACL

• Isabel Cachola, Eric Holgate, Daniel Preoţiuc-Pietro, and Junyi Jessy Li. 2018. Expressively vulgar: The socio-dynamics of vulgarity and its effects on sentiment analysis in social media. In Proceedings of the 27th International Conference on Computational Linguistics, pages 2927–2938, Santa Fe, New Mexico, USA. Association for Computational Linguistics.