Analyzing Public Concerns on Mpox Using Natural Language Processing and Text Mining Approaches

Author:

Anoop V. S.1

Affiliation:

1. NLP for Social Good Lab, School of Digital Sciences, Kerala University of Digital Sciences, Innovation, and Technology, Thiruvananthapuram, India

Abstract

The World Health Organization (WHO) officially designated Mpox (Monkeypox) as a Public Health Emergency of International Concern on July 23, 2022. Since early May 2022, numerous endemic countries have been reporting the spread of Mpox, with alarming mortality rates have accompanied. This situation has prompted extensive discussions and deliberations among the general public through various social media platforms and health forums.This study proposes a natural language processing approach, specifically employing topic modeling techniques, to extract and analyze the public sentiments and perspectives regarding the escalating Mpox cases on a global scale. The results revealed several themes related to Mpox transmission, such as Mpox symptoms, international travel, government interventions, and homophobia from the user-generated content. The results further confirm that the general public has many stigmas and fears about the Mpox virus, which is prevalent in almost all topics.

Publisher

IGI Global

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3