Navegando por Palavras-chave "Modelagem De Tópico"

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    Análise do conteúdo textual de mensagens provenientes de redes sociais sobre temas de saúde baseado no inter-relacionamento de doenças, medicamentos e sintomas
    (Universidade Federal de São Paulo (UNIFESP), 2020-05-15) Araujo, Gabriela Denise De [UNIFESP]; Pisa, Ivan Torres [UNIFESP]; Universidade Federal de São Paulo
    Background: Analyzing and interpreting data available on the web, whether on social networks, blogs, or editorial sites, establishing relationships, identifying useful and relevant information is a current and significant computational challenge. The information age has favored the availability of a huge amount of data on the web that has naturally become a rich source of information and evidence on various subjects, including health. Objectives: The purpose of this study is to develop a methodological framework to monitor general public health information from social networks and to contribute to the scientific production of health surveillance studies. Methods: The messages containing at least two medical terms were selected using health terms and phrases related to diseases, symptoms, and medications. Data mining techniques, complex networks, and topic modeling were used to analyze health-related discussions on social networks. Results: About 141 million Twitter messages published in the Brazilian territory in 2017 were collected. Around 95 thousand were classified as health-related. Of these, 27% contained terms related to diseases, 56% related to symptoms and 47% to medications. It was possible to explore the relationship between health terms, the strength of connections and their types, and to observe themes that stood out by measuring their relative importance within the network. With the topic modeling technique, popular subjects were identified, and national health campaign events were highlighted. Unexpected topics were also noted; as symptom treatments and food. Conclusion: Users sharing their opinions and experiences on health topics on social networks can assist in monitoring some aspects of public health and collaborate for participatory surveillance, offering a perception to health managers of how people interact with health topics on the web. The results showed that varied topics related to health are discussed in social networks and the methodologies used in this study are efficient to highlight them and make them useful in terms of information.