What is the people posting about symptoms related to Coronavirus in Bogota, Colombia?

• URL: http://arxiv.org/abs/2003.11159v1
• Date: Wed, 25 Mar 2020 00:07:50 GMT
• Title: What is the people posting about symptoms related to Coronavirus in Bogota, Colombia?
• Authors: Josimar E. Chire Saire and Roberto C. Navarro
• Abstract summary: 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.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

Related papers

• Human Behavior in the Time of COVID-19: Learning from Big Data [71.26355067309193]
  Since March 2020, there have been over 600 million confirmed cases of COVID-19 and more than six million deaths. The pandemic has impacted and even changed human behavior in almost every aspect. Researchers have been employing big data techniques such as natural language processing, computer vision, audio signal processing, frequent pattern mining, and machine learning.
  arXiv  Detail & Related papers  (2023-03-23T17:19:26Z)
• "COVID-19 was a FIFA conspiracy #curropt": An Investigation into the Viral Spread of COVID-19 Misinformation [60.268682953952506]
  We estimate the extent to which misinformation has influenced the course of the COVID-19 pandemic using natural language processing models. We provide a strategy to combat social media posts that are likely to cause widespread harm.
  arXiv  Detail & Related papers  (2022-06-12T19:41:01Z)
• The relationship between sentiment score and COVID-19 cases in the United States [0.0]
  We consider a framework for extracting sentiment scores and opinions from COVID-19 related tweets. We connect users' sentiment with COVID-19 cases across the USA and investigate the effect of specific COVID-19 milestones on public sentiment.
  arXiv  Detail & Related papers  (2022-01-09T01:07:13Z)
• American Twitter Users Revealed Social Determinants-related Oral Health Disparities amid the COVID-19 Pandemic [72.44305630014534]
  We collected oral health-related tweets during the COVID-19 pandemic from 9,104 Twitter users across 26 states. Women and younger adults (19-29) are more likely to talk about oral health problems. People from counties at a higher risk of COVID-19 talk more about tooth decay/gum bleeding and chipped tooth/tooth break.
  arXiv  Detail & Related papers  (2021-09-16T01:10:06Z)
• Characterizing Twitter Interaction during COVID-19 pandemic using Complex Networks and Text Mining [0.0]
  The outbreak of covid-19 started many months ago, the reported origin was in Wuhan Market, China. It is possible to analyze Social Network interaction from one city, country to understand the impact generated by this global issue. The scope of this paper is to analyze the interaction on Twitter of South American countries and characterize the flow of data through the users using Complex Network representation and Text Mining.
  arXiv  Detail & Related papers  (2020-09-11T19:12:44Z)
• Hope Amid of a Pandemic: Is Psychological Distress Alleviating in South America while Coronavirus is still on Surge? [1.7894377200944511]
  The COVID-19 pandemic has over 17 million reported cases, causing more than 667,000 deaths. This paper aims to explore the impact of lockdown over the psychological aspect of the people of all the Spanish speaking South American capitals.
  arXiv  Detail & Related papers  (2020-08-27T17:53:22Z)
• Twitter Interaction to Analyze Covid-19 Impact in Ghana, Africa from March to July [0.0]
  We use text mining to draw insights from data collected from Twitter. We observe that the engagement of users of this social network was initially high in March but declined from April to July. We also found certain words in these tweets that enabled us to understand the sentiments and mental state of individuals at the time.
  arXiv  Detail & Related papers  (2020-08-27T17:29:36Z)
• How Have We Reacted To The COVID-19 Pandemic? Analyzing Changing Indian Emotions Through The Lens of Twitter [2.805251632575323]
  WHO has reported more than 13 million confirmed cases including close to 600,000 deaths across 216 countries and territories. India has gradually moved up the ranks to become the third worst-hit nation by the pandemic after the US and Brazil. We propose a deep learning-based system to identify people's emotions from their tweets.
  arXiv  Detail & Related papers  (2020-08-20T15:39:05Z)
• Cross-lingual Transfer Learning for COVID-19 Outbreak Alignment [90.12602012910465]
  We train on Italy's early COVID-19 outbreak through Twitter and transfer to several other countries. Our experiments show strong results with up to 0.85 Spearman correlation in cross-country predictions.
  arXiv  Detail & Related papers  (2020-06-05T02:04:25Z)
• Analyzing COVID-19 on Online Social Media: Trends, Sentiments and Emotions [44.92240076313168]
  We analyze the affective trajectories of the American people and the Chinese people based on Twitter and Weibo posts between January 20th, 2020 and May 11th 2020. By contrasting two very different countries, China and the Unites States, we reveal sharp differences in people's views on COVID-19 in different cultures. Our study provides a computational approach to unveiling public emotions and concerns on the pandemic in real-time, which would potentially help policy-makers better understand people's need and thus make optimal policy.
  arXiv  Detail & Related papers  (2020-05-29T09:24:38Z)
• The Ivory Tower Lost: How College Students Respond Differently than the General Public to the COVID-19 Pandemic [66.80677233314002]
  Pandemic of the novel Coronavirus Disease 2019 (COVID-19) has presented governments with ultimate challenges. In the United States, the country with the highest confirmed COVID-19 infection cases, a nationwide social distancing protocol has been implemented by the President. This paper aims to discover the social implications of this unprecedented disruption in our interactive society by mining people's opinions on social media.
  arXiv  Detail & Related papers  (2020-04-21T13:02:38Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.