#andràtuttobene: Images, Texts, Emojis and Geodata in a Sentiment Analysis Pipeline

Pierluigi Vitale, Serena Pelosi, M. Falco
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引用次数: 5

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
#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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