Mood of India During Covid-19 - An Interactive Web Portal Based on Emotion Analysis of Twitter Data

Akhila Sri Manasa Venigalla, Dheeraj Vagavolu, S. Chimalakonda
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引用次数: 35

Abstract

During outbreaks of pandemics such as Covid-19, understanding the emotional state of citizens of a country could be of interest to various organizations to carry out tasks and to take necessary measures. Analyzing real time posts on twitter in India during Covid-19, could help in identifying the mood of the nation. However, most of the existing studies related to Covid-19, on twitter and other social media platforms are performed on data posted during a specific interval. We are not aware of any research that identifies emotional state of India on a daily basis. Hence, we present a web portal that aims to display mood of India during Covid-19, based on real time twitter data. As of 25 June 2020, the web portal has about 703618 tweets, and each of these tweets are classified into seven categories that include six basic emotions and a neutral category. Mood of India During Covid-19 portal can be accessed from here -https://moodofindia.herokuapp.com/ and demonstration video can be found here - https://youtu.be/2b0k_p1Hq9A.
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2019冠状病毒病期间的印度情绪——基于Twitter数据情绪分析的交互式门户网站
在Covid-19等大流行爆发期间,了解一个国家公民的情绪状态可能会对各种组织开展任务和采取必要措施产生影响。分析2019冠状病毒病期间印度推特上的实时帖子,可能有助于确定该国的情绪。然而,在推特和其他社交媒体平台上,大多数与Covid-19相关的现有研究都是根据特定时间间隔发布的数据进行的。我们不知道有任何研究表明印度人每天的情绪状态。因此,我们提出了一个门户网站,旨在根据实时推特数据显示Covid-19期间印度的情绪。截至2020年6月25日,该门户网站有大约703618条推文,每条推文被分为7类,包括6种基本情绪和1种中性情绪。Covid-19期间的印度情绪门户网站可从这里访问-https://moodofindia.herokuapp.com/,演示视频可在这里找到- https://youtu.be/2b0k_p1Hq9A。
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