论文标题
通过情感分类分析希腊议会记录
Analysing the Greek Parliament Records with Emotion Classification
论文作者
论文摘要
在这个项目中，我们解决了希腊语言的情感分类，在希腊语中介绍并发布了一个新数据集。我们微调和评估基于变压器的掩盖语言模型，这些模型已在单语和多语言资源上进行了预先培训，并且我们通过情感和主观性层面汇总了每个情感的结果。通过在希腊议会记录中检测和研究“厌恶”的情绪来研究提出的资源的潜力。我们：（a）在1989年到现在的价值观最高的月份，（b）基于这种情感在他们的演讲中的存在，对希腊政党进行排名，（c）研究用来侮辱人们的单词的情感上下文转移。
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.
