What is the people posting about symptoms related to Coronavirus in Bogota, Colombia?
This work provides insights into public health monitoring in Colombia during the pandemic, but it is incremental as it applies existing text mining methods to a new dataset.
The paper analyzed social media posts from Bogotá, Colombia, to identify symptoms related to COVID-19 using text mining techniques, aiming to understand the spread of the virus in the region.
During the last months, there is an increasing alarm about a new mutation of coronavirus, covid-19 coined by World Health Organization(WHO) with an impact in many areas: economy, health, politics and others. This situation was declared a pandemic by WHO, because of the fast expansion over many countries. At the same time, people is using Social Networks to express what they think, feel or experiment, so this people are Social Sensors and helps to analyze what is happening in their city. The objective of this paper is analyze the publications of Colombian people living in Bogota with a radius of 50 km using Text Mining techniques from symptomatology approach. The results support the understanding of the spread in Colombia related to symptoms of covid19.