{"title":"#andràtuttobene: Images, Texts, Emojis and Geodata in a Sentiment Analysis Pipeline","authors":"Pierluigi Vitale, Serena Pelosi, M. Falco","doi":"10.4000/books.aaccademia.8954","DOIUrl":null,"url":null,"abstract":"This research investigates Instagram users’ sentiment narrated during the lockdown period in Italy, caused by the COVID-19 pandemic The study is based on the analysis of all the posts published on Instagram under the hashtag #andratuttobene on May 4, May 18 and June 3, 2020 Our research carried out a view on a national, regional and provincial scale We analyzed all the different languages and forms (i e captions, hashtags, emojis and images) that constitute the posts The aim of this research is to provide a set of procedures revealing the different polarity trends for each kind of expression and to propose a single comprehensive measure 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":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","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.8954","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
#andràtuttobene:情感分析管道中的图像，文本，表情符号和地理数据
这项研究调查了2019冠状病毒病大流行导致的意大利封锁期间Instagram用户的情绪，该研究基于对2020年5月4日、5月18日和6月3日在Instagram上发布的标签#andratuttobene下的所有帖子的分析。我们的研究从国家、地区和省的角度进行了观察。我们分析了所有不同的语言和形式(如标题、标签、本研究的目的是提供一套揭示每种表情的不同极性趋势的程序，并提出单一的综合措施版权所有©2020由其作者为本文提供
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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