Monitoring the Emotional Response to the COVID-19 Pandemic Using Sentiment Analysis: A Case Study in Mexico

Table 2

Summary of similar studies following sentiment polarity over COVID-19 related tweets.

First author, ref	Summary	DataSet
		Location	Time span (in 2020)
Adikari et al. [20]	Topic analysis follows popular subjects, pre/post lockdown	Australia	Jan to Sep	73K
Abd-Alrazaq et al. [21]	Uses PostgreSQL and topic analysis, pre/post lockdown		Feb 2 to Mar 15	167K
Boon-Itt and skunkan [22]	Topic analysis, 3 panel data analysis	US	Dec 13 to Mar 9	108K
Lwin et al. [23]	Uses the Plutchik basic sentiments, pre/post lockdown	Global	Jan 28 to Apr 9	20M
Xue et al. [24]	Topic analysis, pre/post lockdown	US	Mar 7 to Apr 21	4M
Valdez et al. [25]	Topic analysis, pre/post lockdown, follows popular subjects	US	Jan 28 to Apr 7	86M
Huerta et al. [26]	Pre/post lockdown	Ma, US	Jan 1 to May 14	2.88 M
This study	Time series, both Spanish and English	Mexico	Feb 1 to Dec 31	760M