Grupo Decisión Multicriterio Zaragoza (GDMZ), Dpt. Economía Aplicada, Facultad de Economía y Empresa, Universidad de Zaragoza, Gran Vía 2, 50003, Zaragoza, Spain.
Grupo Decisión Multicriterio Zaragoza (GDMZ), Dpt. Economía Aplicada, Facultad de Economía y Empresa, Universidad de Zaragoza, Gran Vía 2, 50003, Zaragoza, Spain.
Public Health. 2023 Feb;215:83-90. doi: 10.1016/j.puhe.2022.12.003. Epub 2022 Dec 14.
This paper presents a new approach based on the combination of machine learning techniques, in particular, sentiment analysis using lexicons, and multivariate statistical methods to assess the evolution of social mood through the COVID-19 vaccination process in Spain.
Analysing 41,669 Spanish tweets posted between 27 February 2020 and 31 December 2021, different sentiments were assessed using a list of Spanish words and their associations with eight basic emotions (anger, fear, anticipation, trust, surprise, sadness, joy and disgust) and three valences (neutral, negative and positive). How the different subjective emotions were distributed across the tweets was determined using several descriptive statistics; a trajectory plot representing the emotional valence vs narrative time was also included.
The results achieved are highly illustrative of the social mood of citizens, registering the different emerging opinion clusters, gauging public states of mind via the collective valence, and detecting the prevalence of different emotions in the successive phases of the vaccination process.
The present combination in formal models of objective and subjective information would therefore provide a more accurate vision of social reality, in this case regarding the COVID-19 vaccination process in Spain, which will enable a more effective resolution of problems.
本文提出了一种新方法，该方法基于机器学习技术的结合，特别是使用词汇进行情感分析，以及多元统计方法，以评估西班牙 COVID-19 疫苗接种过程中的社会情绪演变。
分析了 2020 年 2 月 27 日至 2021 年 12 月 31 日期间发布的 41669 条西班牙推文，使用西班牙语单词列表及其与八种基本情绪（愤怒、恐惧、预期、信任、惊喜、悲伤、喜悦和厌恶）和三种效价（中性、负面和正面）的关联来评估不同的情绪。通过几种描述性统计数据确定了不同主观情绪在推文中的分布情况；还包括了一个表示情感效价与叙述时间的轨迹图。
所取得的结果高度说明了公民的社会情绪，记录了不同新兴意见群体，通过集体效价衡量公众的心态，并在疫苗接种过程的不同阶段检测出不同情绪的流行程度。
因此，在正式模型中结合客观和主观信息将提供对社会现实的更准确看法，在这种情况下，将涉及西班牙的 COVID-19 疫苗接种过程，这将能够更有效地解决问题。
