{"title":"L'impatto emotivo della comunicazione istituzionale durante la pandemia di COVID-19: uno studio di Twitter Sentiment Analysis","authors":"Gloria Gagliardi, Lorenzo Gregori, Alice Suozzi","doi":"10.4000/books.aaccademia.8575","DOIUrl":null,"url":null,"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 Copyright © 2020 for this paper by its authors","PeriodicalId":300279,"journal":{"name":"Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4000/books.aaccademia.8575","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
covi -19大流行期间机构交流的情感影响:Twitter上的一项感官分析研究
本文旨在通过使用NLP技术对Twitter上的微博活动进行分析，调查机构传播在意大利Covid-19大流行造成的健康危机期间的影响。我们的研究结果显示，意大利总理朱塞佩·孔特(Giuseppe Conte)于2020年3月4日、3月4日、9日和4月26日发表的三次机构演讲与情绪极性的变化有关。本文版权所有©2020
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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