打印

作者

Ehsan Dorostkar;Mahsa Najarsadeghi

来源

CITIES,Vol.127,Issue1,Article 103713

语言

英文

关键字

Twitter;Covid 19;Urban emotions

作者单位

Department of Urban Planning, University of Guilan, Rasht, Iran;Department of Urban Planning, Science & Research Branch, Islamic Azad University (SRBIAU), Tehran, Iran;Department of Urban Planning, University of Guilan, Rasht, Iran;Department of Urban Planning, Science & Research Branch, Islamic Azad University (SRBIAU), Tehran, Iran

摘要

Unstructured data on social media can be used to develop urban planning knowledge. The emotions created by social media can positively or negatively affect the community. The purpose of this study is to develop artificial intelligence models in urban analysis to discover emotions on Twitter social media in Tehran. By referring to the API, we extracted the tweets related to the Covid 19 and explored the data in the period 3/2020 to 9/2020 for Tehran. After analyzing and classifying the created emotions, prepared time series. Finally, we found that the published tweets have a strong reaction to the Covid 19 in 4 sections. With the onset of the epidemic, one of these reactions has had a widespread negative impact on Twitter, provoking urban emotions. The other 3 reactions, made small and cross-sectional effects and decreased with the decline of the epidemic peak.