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Analysing the Greek Parliament Records with Emotion Classification

arXiv 2205.12012 ↗First posted 24 May 2022cs.CLcited by 0

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Abstract (arXiv)

In this project, we tackle emotion classification for the Greek language, presenting and releasing a new dataset in Greek. We fine-tune and assess Transformer-based masked language models that were pre-trained on monolingual and multilingual resources, and we present the results per emotion and by aggregating at the sentiment and subjectivity level. The potential of the presented resources is investigated by detecting and studying the emotion of `disgust' in the Greek Parliament records. We: (a) locate the months with the highest values from 1989 to present, (b) rank the Greek political parties based on the presence of this emotion in their speeches, and (c) study the emotional context shift of words used to stigmatise people.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 19 of its 44 references that are in the map. First posted on arXiv 24 May 2022.

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19 of 44 references.

References · 19

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7 more
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