Navarro Jorge, Aguarón Juan, Moreno-Jiménez José María, Turón Alberto
Grupo Decisión Multicriterio Zaragoza (GDMZ), Department of Applied Economics, Faculty of Economics and Business, University of Zaragoza, Gran Vía 2, 50005, Zaragoza, Spain.
Heliyon. 2023 Dec 25;10(1):e23958. doi: 10.1016/j.heliyon.2023.e23958. eCollection 2024 Jan 15.
In accordance with the cognitive orientation contemplated in the resolution of complex problems posed in public decision-making using decision support systems and social networks, this work studies the possibility of identifying the state of mind of society through the state of mind of network leaders. Using sentiment and emotion analysis as research techniques and as a representative social network, the study corpus considers tweets and retweets in Spanish about COVID-19 in the period from February 27, 2020 to December 31, 2021. As cognitive orientation claims, the proposed techniques will allow us to extract the arguments that support the different positions and decisions from the analysis of the tweets issued exclusively by social leaders. In the case study considered, the COVID-19 vaccination process in Spain, the reduction in the number of tweets' authors (more than 8,000) to the network leaders (just 8) was greater than 99 %; and the subsequent reduction in the number of associated tweets was greater than 88 % from the 18,193 tweets in society to the 2,145 tweets of the eight social leaders. The impressive degree of information compression achieved may be useful to establish new directions of social mood analysis applied to healthcare and business management.
根据在使用决策支持系统和社交网络进行公共决策时所提出的复杂问题解决方案中所设想的认知方向，本研究探讨了通过网络领导者的心态来识别社会心态的可能性。以情感和情绪分析作为研究技术，并以一个具有代表性的社交网络为研究对象，研究语料库选取了2020年2月27日至2021年12月31日期间西班牙语关于COVID-19的推文和转发推文。正如认知方向所主张的那样，所提出的技术将使我们能够通过对仅由社会领导者发布的推文的分析，提取支持不同立场和决策的论据。在所考虑的案例研究中，即西班牙的COVID-19疫苗接种过程，从推文作者（超过8000人）到网络领导者（仅8人）的减少幅度超过99%；随后，相关推文数量从社会上的18193条推文减少到八位社会领导者的2145条推文，减少幅度超过88%。所实现的令人印象深刻的信息压缩程度可能有助于确立应用于医疗保健和商业管理的社会情绪分析的新方向。
