论文标题
推文和社会经济特征作为区域层面投票行为的决定因素。 2019年波兰议会选举的案例研究
Sentiment of tweets and socio-economic characteristics as the determinants of voting behavior at the regional level. Case study of 2019 Polish parliamentary election
论文作者
论文摘要
这项工作致力于在波兰级别找到波兰的投票行为的决定因素。已经分析了2019年议会选举，并尝试为获奖方（法律与司法）解释投票份额。在选举周围收集的时期收集的波兰语（原始）和英语（机器翻译）的推文的情感分析已被应用。在测试了多种机器学习方法中，通过在机器翻译的推文上拥抱Face Bert实现了最佳分类精度。 OLS回归以推文和作为独立变量作为独立变量的社会经济特征的观点来解释法律和司法投票在Poviats中的份额。如该领域的文献所规定，已经发现推文的情感是一个重要的预测指标。
This work is dedicated to finding the determinants of voting behavior in Poland at the poviat level. 2019 parliamentary election has been analyzed and an attempt to explain vote share for the winning party (Law and Justice) has been made. Sentiment analysis of tweets in Polish (original) and English (machine-translations), collected in the period around the election, has been applied. Amid multiple machine learning approaches tested, the best classification accuracy has been achieved by Huggingface BERT on machine-translated tweets. OLS regression, with sentiment of tweets and selected socio-economic features as independent variables, has been utilized to explain Law and Justice vote share in poviats. Sentiment of tweets has been found to be a significant predictor, as stipulated by the literature of the field.
