Evolution of social mood in Spain throughout the COVID-19 vaccination process: a machine learning approach to tweets analysis

Lexicon-based sentiment analysis to detect opinions and attitude towards COVID-19 vaccines on Twitter in Italy

“…Turón et al [19] presented an analysis of the mood evolution in Spain regarding the COVID-19 vaccination. Tweets posted between February and December 2021 have been studied by combining social network analysis and sentiment analysis based on the lexicon.…”

COVID-19 vaccination perception and outcome: society sentiment analysis on twitter data in India

“…Turón et al ( 2023 ) study proposes a novel approach that combines multivariate statistical techniques with machine learning techniques, such as sentiment analysis using lexicons, to evaluate the evolution of social mood during the COVID-19 immunization protocol in Spain. The study examines 41,669 Spanish tweets written between February 2020 and December 2021 to identify the various attitudes represented in them using a list of Spanish phrases and their relationships with eight primary emotions and three valences.…”

Social mood during the Covid-19 vaccination process in Spain. A sentiment analysis of tweets and social network leaders

“…Therefore, the number of works dedicated to mining opinions expressed on social networks has considerably grown, despite the great diversity of formats in which they are presented, constituting an efficient procedure to analyze opinions and, in general, the behavior of people in unforeseen situations that affect public opinion [ 21 ]. In particular, in recent years, sentiment analysis in social networks has been applied to the study of very diverse phenomena: the Syrian refugee crisis [ 22 ], the US presidential elections [ 23 , 24 ], the Russian campaign [ 25 ], the impact of Brexit [ 26 ], natural disasters [ 21 ], sentiment towards racial/ethnic minorities [ 27 ] or the very recent COVID-19 outbreak [ [28] , [29] , [30] , [31] , [32] , [33] ].…”

“…During the COVID-19 pandemic, most international political leaders turned to social networks to broadcast information about the pandemics, response plans, public health measures, and connection with citizens [ 44 ]. Identifying and monitoring those social leaders whose opinions most closely reflect the needs or demands of society will contribute to make more realistic and effective public health decisions [ 33 , 45 , 46 ].…”

“…In a previous paper [ 33 ], we had developed a new approach based on the combination of sentiment analysis using lexicons and multivariate statistical methods to assess the evolution of social mood through the COVID-19 vaccination process in Spain. In the present study we have used that approach with a different goal: to identify the state of mind of society through the state of mind of network leaders.…”