This paper aims at investigating the impact of institutional communications during the health crisis due to Covid-19 pandemic in Italy, through the analysis of micro-blogging activities on Twitter by means of NLP techniques. We performed a Sentiment Analysis on the TWITA corpus, to pinpoint potential correlations between opinion polarity (positive or negative) of the users and public speeches during the outbreak. Our findings show changes in sentiment polarity related to three institutional speeches delivered by the Italian Prime Minister Giuseppe Conte on March, 4th, March, 9th, and April, 26th 2020.
L'impatto emotivo della comunicazione istituzionale durante la pandemia di COVID-19: uno studio di Twitter Sentiment Analysis / Gagliardi, G., Gregori, L., Suozzi, A.. - ELETTRONICO. - (2020), pp. 0-0.
L'impatto emotivo della comunicazione istituzionale durante la pandemia di COVID-19: uno studio di Twitter Sentiment Analysis.
Gagliardi G.;Gregori L.;Suozzi A.
2020
Abstract
This paper aims at investigating the impact of institutional communications during the health crisis due to Covid-19 pandemic in Italy, through the analysis of micro-blogging activities on Twitter by means of NLP techniques. We performed a Sentiment Analysis on the TWITA corpus, to pinpoint potential correlations between opinion polarity (positive or negative) of the users and public speeches during the outbreak. Our findings show changes in sentiment polarity related to three institutional speeches delivered by the Italian Prime Minister Giuseppe Conte on March, 4th, March, 9th, and April, 26th 2020.
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