Sentiment Analysis of Monkeypox Tweets in Latin America

Josimar Chire-Saire, Anabel Pineda-Briseño, Jimy Oblitas-Cruz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Even during the Covid-19 pandemic, a new outbreak of Monkeypox was confirmed in the United Kingdom, and from there it has spread throughout the world. Among the most affected countries are those located in Latin America, one of the most vulnerable regions due to the lack of adequate hospital infrastructure, the shortcomings or deficiencies of health care systems, or populations with a high prevalence of chronic diseases. Social media platforms, such as Twitter, have become valuable sources of real-time information and public sentiment during disease outbreaks. This study presents an analysis of sentiment expressed in tweets related to Monkeypox in Latin America, aiming to understand public perceptions and emotional responses. We collected a dataset of tweets containing keywords associated with Monkeypox, originating from Latin American countries, over a specific time frame (from May 31, 2022, to October 31, 2022). Natural language processing techniques were employed to preprocess and analyze the textual content. Sentiment analysis tools were applied to classify tweets into positive or negative sentiments. Our findings reveal valuable insights into the sentiment dynamics surrounding Monkeypox in Latin America. We observed fluctuations in sentiment over time, closely aligned with the progression of the disease and related events.

Original languageEnglish
Title of host publicationApplied Machine Learning and Data Analytics - 6th International Conference, AMLDA 2023, Revised Selected Papers
EditorsM.A. Jabbar, Sanju Tiwari, Fernando Ortiz-Rodríguez, Sven Groppe, Tasneem Bano Rehman
Pages230-245
Number of pages16
DOIs
StatePublished - 2024
Event6th International Conference on Applied Machine Learning and Data Analytics, AMLDA 2023 - Lübeck, Germany
Duration: 9 Nov 202310 Nov 2023

Publication series

NameCommunications in Computer and Information Science
Volume2047 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference6th International Conference on Applied Machine Learning and Data Analytics, AMLDA 2023
Country/TerritoryGermany
CityLübeck
Period9/11/2310/11/23

Keywords

  • Machine Learning
  • Monkeypox
  • Sentiment Analysis
  • Social Media

Fingerprint

Dive into the research topics of 'Sentiment Analysis of Monkeypox Tweets in Latin America'. Together they form a unique fingerprint.

Cite this