Analyzing tweets on new norm: Work from home during COVID-19 outbreak

• Main Authors: GOTTIPATI, Swapna, SHIM, Kyong Jin, TEO, Hui Hian, NITYANAND, Karthik, SHIVAM, Shreyansh
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: work-from-home; COVID-19; data analytics; NLP; social media; Databases and Information Systems; Data Science; Numerical Analysis and Scientific Computing; Public Health; Social Media
• Online Access: https://ink.library.smu.edu.sg/sis_research/6027; https://ink.library.smu.edu.sg/context/sis_research/article/7030/viewcontent/Analyzing_tweets_on_New_norm_Work_from_home_during_COVID_19_av.pdf
• Institution: Singapore Management University

The COVID-19 pandemic triggered a large-scale work-from-home trend globally in recent months. In this paper, we study the phenomenon of “work-from-home” (WFH) by performing social listening. We propose an analytics pipeline designed to crawl social media data and perform text mining analyzes on text...