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        <title>Estimating the Emotion of Disgust in Greek Parliament Records</title>
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    <abstract>We present an analysis of the sentiment in Greek political speech, by focusing on the most frequently occurring emotion in electoral data, the emotion of “disgust”. We show that emotion classification is generally tough, but high accuracy can be achieved for that particular emotion. Using our best-performing model to classify political records of the Greek Parliament Corpus from 1989 to 2020, we studied the points in time when this emotion was frequently occurring and we ranked the Greek political parties based on their estimated score. We then devised an algorithm to investigate the emotional context shift of words that describe specific conditions and that can be used to stigmatise. Given that early detection of such word usage is essential for policy-making, we report two words we found being increasingly used in a negative emotional context, and one that is likely to be carrying stigma, in the studied parliamentary records.</abstract>
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%0 Conference Proceedings
%T Estimating the Emotion of Disgust in Greek Parliament Records
%A Lislevand, Vanessa
%A Pavlopoulos, John
%A Louridas, Panos
%A Dritsa, Konstantina
%Y Chung, Yi-Ling
%Y Talat, Zeerak
%Y Nozza, Debora
%Y Plaza-del-Arco, Flor Miriam
%Y Röttger, Paul
%Y Mostafazadeh Davani, Aida
%Y Calabrese, Agostina
%S Proceedings of the 8th Workshop on Online Abuse and Harms (WOAH 2024)
%D 2024
%8 June
%I Association for Computational Linguistics
%C Mexico City, Mexico
%F lislevand-etal-2024-estimating
%X We present an analysis of the sentiment in Greek political speech, by focusing on the most frequently occurring emotion in electoral data, the emotion of “disgust”. We show that emotion classification is generally tough, but high accuracy can be achieved for that particular emotion. Using our best-performing model to classify political records of the Greek Parliament Corpus from 1989 to 2020, we studied the points in time when this emotion was frequently occurring and we ranked the Greek political parties based on their estimated score. We then devised an algorithm to investigate the emotional context shift of words that describe specific conditions and that can be used to stigmatise. Given that early detection of such word usage is essential for policy-making, we report two words we found being increasingly used in a negative emotional context, and one that is likely to be carrying stigma, in the studied parliamentary records.
%R 10.18653/v1/2024.woah-1.9
%U https://aclanthology.org/2024.woah-1.9
%U https://doi.org/10.18653/v1/2024.woah-1.9
%P 118-135

Markdown (Informal)

[Estimating the Emotion of Disgust in Greek Parliament Records](https://aclanthology.org/2024.woah-1.9) (Lislevand et al., WOAH-WS 2024)

• Estimating the Emotion of Disgust in Greek Parliament Records (Lislevand et al., WOAH-WS 2024)

ACL

• Vanessa Lislevand, John Pavlopoulos, Panos Louridas, and Konstantina Dritsa. 2024. Estimating the Emotion of Disgust in Greek Parliament Records. In Proceedings of the 8th Workshop on Online Abuse and Harms (WOAH 2024), pages 118–135, Mexico City, Mexico. Association for Computational Linguistics.