Abstract
The present work studies the reactions of citizens from United States of America (USA) during the first cases of Bubonic Plague in the territory on August 2020, during pandemic generated by Covid-19. The interest of the study is analyze the posts of users from all the states of USA following a Text Mining approach. The collection of data is performed through Twitter Application Program Interface (API) of Twitter, considering keywords: bubonic plague and black death. The results show that the states with highest number of coronavirus have more publication than others and the interests are around treatments, political issues and public health.
| Original language | English |
|---|---|
| Title of host publication | Information Technology and Systems - Proceedings of ICITS 2022 |
| Editors | Álvaro Rocha, Carlos Ferrás, Efren Jimenez Delgado, Abel Méndez Porras |
| Pages | 88-95 |
| Number of pages | 8 |
| DOIs | |
| State | Published - 2022 |
| Event | International Conference on Information Technology and Systems, ICITS 2022 - San Carlos, Costa Rica Duration: 9 Feb 2022 → 11 Feb 2022 |
Publication series
| Name | Lecture Notes in Networks and Systems |
|---|---|
| Volume | 414 LNNS |
| ISSN (Print) | 2367-3370 |
| ISSN (Electronic) | 2367-3389 |
Conference
| Conference | International Conference on Information Technology and Systems, ICITS 2022 |
|---|---|
| Country/Territory | Costa Rica |
| City | San Carlos |
| Period | 9/02/22 → 11/02/22 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Bubonic plague
- Natural language processing
- People behaviour
- Public health
- Social network
- Text Mining
- USA
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