{"title":"新冠肺炎疫情期间印尼城市居民对封锁政策的看法","authors":"Z. Putra","doi":"10.4018/ijepr.297515","DOIUrl":null,"url":null,"abstract":"Indonesia implemented “Large Scale Social Restrictions” (LSSR) to cope with COVID-19. This policy generated various opinions between people that demonstrated their sentiments in daily life and social media. This study aims to analyse the sentiments of Indonesian urban citizens with respect to the policy. Using Drone Emprit Academic, a data mining tool that retrieved data from Twitter, this study examined tweets mentioned: “Pembatasan Sosial Berskala Besar” or “PSBB” from March 2nd, 2020 to January 11th, 2021. It reveals that significant events in the real world influence the sentiments pattern and classification during that particular period. The spatial distribution of the tweets reveals that the conversation is concentrated in cities throughout Java. Twitter-based sentiment analysis can be an alternative method for the Government to monitor and evaluate its policies in the future, specifically in a pandemic situation.","PeriodicalId":43769,"journal":{"name":"International Journal of E-Planning Research","volume":" ","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Sentiments of Indonesian Urban Citizens regarding the Lockdown-like Policy during the COVID-19 Pandemic\",\"authors\":\"Z. Putra\",\"doi\":\"10.4018/ijepr.297515\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Indonesia implemented “Large Scale Social Restrictions” (LSSR) to cope with COVID-19. This policy generated various opinions between people that demonstrated their sentiments in daily life and social media. This study aims to analyse the sentiments of Indonesian urban citizens with respect to the policy. Using Drone Emprit Academic, a data mining tool that retrieved data from Twitter, this study examined tweets mentioned: “Pembatasan Sosial Berskala Besar” or “PSBB” from March 2nd, 2020 to January 11th, 2021. It reveals that significant events in the real world influence the sentiments pattern and classification during that particular period. The spatial distribution of the tweets reveals that the conversation is concentrated in cities throughout Java. Twitter-based sentiment analysis can be an alternative method for the Government to monitor and evaluate its policies in the future, specifically in a pandemic situation.\",\"PeriodicalId\":43769,\"journal\":{\"name\":\"International Journal of E-Planning Research\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of E-Planning Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/ijepr.297515\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"REGIONAL & URBAN PLANNING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of E-Planning Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijepr.297515","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"REGIONAL & URBAN PLANNING","Score":null,"Total":0}
引用次数: 0
摘要
印度尼西亚实施了“大规模社会限制”(LSSR)以应对新冠肺炎。这项政策在人们之间引发了各种意见,在日常生活和社交媒体上表达了他们的情感。本研究旨在分析印尼城市居民对该政策的看法。这项研究使用从推特上检索数据的数据挖掘工具Drone Emprit Academic,检查了2020年3月2日至2021年1月11日期间提到的推文:“Pembatasan Sosial Berskala Besar”或“PSBB”。它揭示了现实世界中的重大事件影响着特定时期的情感模式和分类。推文的空间分布表明,对话集中在整个Java的城市。基于推特的情绪分析可以成为政府未来监测和评估其政策的一种替代方法,特别是在疫情形势下。
The Sentiments of Indonesian Urban Citizens regarding the Lockdown-like Policy during the COVID-19 Pandemic
Indonesia implemented “Large Scale Social Restrictions” (LSSR) to cope with COVID-19. This policy generated various opinions between people that demonstrated their sentiments in daily life and social media. This study aims to analyse the sentiments of Indonesian urban citizens with respect to the policy. Using Drone Emprit Academic, a data mining tool that retrieved data from Twitter, this study examined tweets mentioned: “Pembatasan Sosial Berskala Besar” or “PSBB” from March 2nd, 2020 to January 11th, 2021. It reveals that significant events in the real world influence the sentiments pattern and classification during that particular period. The spatial distribution of the tweets reveals that the conversation is concentrated in cities throughout Java. Twitter-based sentiment analysis can be an alternative method for the Government to monitor and evaluate its policies in the future, specifically in a pandemic situation.
期刊介绍:
The mission of the International Journal of E-Planning Research (IJEPR) is to provide scholars, researchers, students, and urban and regional planning practitioners with analytical and theoretically-informed empirical research on e-planning, as well as evidence on best-practices of e-planning, in both urban and regional planning fields. The journal aims to establish itself as a reference for information on e-planning issues and is committed to provide a forum for an international exchange of ideas on urban e-planning research and practice.