Mining Twitter data to #educate the public about #sepsis
Introduction Sepsis is not well known. Only 58% of Americans know the word sepsis, less than 1% can identify its symptoms and one-third wrongly believe the disease is contagious (1). What if social media educated users about sepsis? There are at least 500 million tweets worldwide per day on Twitter....
Main Authors: | Simon Olivier Guienguere, Kirsten Marie Fiest, Tyler Williamson, Christopher Doig |
---|---|
Format: | Article |
Language: | English |
Published: |
Swansea University
2018-09-01
|
Series: | International Journal of Population Data Science |
Online Access: | https://ijpds.org/article/view/1025 |
Similar Items
-
Mining Twitter to Assess the Public Perception of the "Internet of Things".
by: Jiang Bian, et al.
Published: (2016-01-01) -
Understanding Public Sentiment About Educational Reforms: The Next Generation Science Standards on Twitter
by: Joshua M. Rosenberg, et al.
Published: (2021-06-01) -
DATA MINING TWITTER TO PREDICT STOCK MARKET MOVEMENTS
by: Maxim PECIONCHIN, et al.
Published: (2015-04-01) -
Understanding the Public Discussion About the Centers for Disease Control and Prevention During the COVID-19 Pandemic Using Twitter Data: Text Mining Analysis Study
by: Lyu, Joanne Chen, et al.
Published: (2021-02-01) -
Mining Twitter Data to Understand the Human Sentiment on Hurricane Florence
by: Seungil Yum
Published: (2020-09-01)