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

Figure 1

Data Consumption and Processing Overview. The data are processed in three main stages: first, we load the desired Tweet IDs [6], then we consult them directly from Twitter using the official APIs. For preprocessing, we clean up and filter the data; then, we process this dataset in order to produce a time series of the perceived COVID-19-related sentiment. The data exploration and analysis are explained in detail sections Sentiment Analysis of the Emotional Response to the COVID-19 Pandemic in Mexico and Procedure.