Akhila Sri Manasa Venigalla, Dheeraj Vagavolu, S. Chimalakonda
{"title":"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","authors":"Akhila Sri Manasa Venigalla, Dheeraj Vagavolu, S. Chimalakonda","doi":"10.1145/3406865.3418567","DOIUrl":null,"url":null,"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.","PeriodicalId":93424,"journal":{"name":"CSCW '20 Companion : conference companion publication of the 2020 Conference on Computer Supported Cooperative Work and Social Computing : October 17-21, 2020, Virtual Event, USA. Conference on Computer-Supported Cooperative Work and So...","volume":"84 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"35","resultStr":"{\"title\":\"Mood of India During Covid-19 - An Interactive Web Portal Based on Emotion Analysis of Twitter Data\",\"authors\":\"Akhila Sri Manasa Venigalla, Dheeraj Vagavolu, S. Chimalakonda\",\"doi\":\"10.1145/3406865.3418567\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":93424,\"journal\":{\"name\":\"CSCW '20 Companion : conference companion publication of the 2020 Conference on Computer Supported Cooperative Work and Social Computing : October 17-21, 2020, Virtual Event, USA. Conference on Computer-Supported Cooperative Work and So...\",\"volume\":\"84 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"35\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CSCW '20 Companion : conference companion publication of the 2020 Conference on Computer Supported Cooperative Work and Social Computing : October 17-21, 2020, Virtual Event, USA. Conference on Computer-Supported Cooperative Work and So...\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3406865.3418567\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CSCW '20 Companion : conference companion publication of the 2020 Conference on Computer Supported Cooperative Work and Social Computing : October 17-21, 2020, Virtual Event, USA. Conference on Computer-Supported Cooperative Work and So...","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3406865.3418567","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mood of India During Covid-19 - An Interactive Web Portal Based on Emotion Analysis of Twitter Data
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.