Knowledge Extraction from Twitter Towards Infectious Diseases in Spanish

Autor:	Harry Luna-Aveiga, José Antonio García-Díaz, José Medina-Moreira, Oscar Apolinario-Arzube, Rafael Valencia-García
Rok vydání:	2020
Předmět:	medicine.medical_specialty Social perception business.industry Public health Sentiment analysis Outbreak medicine.disease_cause Data science Infodemiology Geography Knowledge extraction medicine The Internet Chikungunya business
Zdroj:	Communications in Computer and Information Science ISBN: 9783030620141 CITI
DOI:	10.1007/978-3-030-62015-8_4
Popis:	Infodemiology consists in the extraction and analysis of data compiled on the Internet regarding public health. Among other applications, Infodemiology can be used to analyse trends on social networks in order to determine the prevalence of outbreaks of infectious diseases in certain regions. This valuable data provides better understanding of the spread of infectious diseases as well as a vision about social perception of citizens towards the strategies carried out by public healthcare institutions. In this work, we apply Natural Language Processing techniques to determine the impact of outbreaks of infectious diseases such as Zika, Dengue or Chikungunya from a compiled dataset with tweets written in Spanish.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::965d899fb928cc2d2ab5dfb57d8ec15f https://doi.org/10.1007/978-3-030-62015-8_4 Zobrazit plný text záznamu