  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.
