分析美国政客推文，揭示两党对疫情态度差异。
Exploration of COVID-19 Discourse on Twitter: American Politician Edition
- 用词频和情感分析对比两党推文关键词与立场
- 民主党更关注死亡人数与防疫建议，共和党侧重政治责任与信息公开
- 可基于关键词预测推文政治倾向，适合舆情研究者使用
新冠疫情的爆发深刻影响了全球政治格局，新术语和公众舆论进一步加剧了党派分歧。本研究收集了美国主要政党（共和党和民主党）政治人物的推文，分析其在应对国际疫情危机时的态度、反应与立场差异。采用词袋模型、二元词组和TF-IDF方法识别并分析各党派的关键词、主题与整体情绪。结果表明，民主党更关注疫情死亡人数，强调医学防护建议；而共和党则更重视政治责任，注重通过媒体及时通报信息并密切关注疫情进展。本文提出一种系统化方法，利用不同语言模型与分类算法，基于新冠相关词汇预测推文的政治倾向（左倾或右倾），为社交媒体舆情分析提供可复现的框架。
原文摘要 · Abstract (English)
The advent of the COVID-19 pandemic has undoubtedly affected the political scene worldwide and the introduction of new terminology and public opinions regarding the virus has further polarized partisan stances. Using a collection of tweets gathered from leading American political figures online (Republican and Democratic), we explored the partisan differences in approach, response, and attitude towards handling the international crisis. Implementation of the bag-of-words, bigram, and TF-IDF models was used to identify and analyze keywords, topics, and overall sentiments from each party. Results suggest that Democrats are more concerned with the casualties of the pandemic, and give more medical precautions and recommendations to the public whereas Republicans are more invested in political responsibilities such as keeping the public updated through media and carefully watching the progress of the virus. We propose a systematic approach to predict and distinguish a tweet's political stance (left or right leaning) based on its COVID-19 related terms using different classification algorithms on different language models.
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