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| Format: | Artículo científico |
| Language: | en |
| Published: |
Universidad Nacional Autónoma de México
2020
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| Online Access: | https://www.redalyc.org/articulo.oa?id=47471672007 https://www.redalyc.org/journal/474/47471672007/ https://www.redalyc.org/journal/474/47471672007/html/ https://www.redalyc.org/journal/474/47471672007/47471672007.epub https://www.redalyc.org/journal/474/47471672007/movil |
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| _version_ | 1866817133865861120 |
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| author | Mirna Adriani |
| author_facet | Mirna Adriani |
| contents | Disease surveillance in Indonesia through Twitter posts Mirna Adriani Fatimah Azzahro Achmad Nizar Hidayanto Ingeniería Twitter Indonesia clustering disease map classification Social media data has become popular resources for various research topic such as public health. One of the popular research directions is to use social media data to detect if there is an epidemic disease emerging in a certain area. This paper presents a framework for mapping the emergence of disease in Indonesia using data from Twitter. The framework is built upon several methods which consist of classification using SVM, clustering using K-Means, and a named-entity recognizer to extract location names. Our research successfully identifies tweets indicating disease emergence and generates a relatively accurate map visualization. Thus, we believe that using Twitter may help Indonesia government officials to get an overview of the spread of disease in Indonesia in a relatively short time. 2020 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47471672007 https://www.redalyc.org/journal/474/47471672007/ https://www.redalyc.org/journal/474/47471672007/html/ https://www.redalyc.org/journal/474/47471672007/47471672007.epub https://www.redalyc.org/journal/474/47471672007/movil 10.14482/INDES.30.1.303.661 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.3 Vol.18 |
| format | Artículo científico |
| id | redalyc_47471672007 |
| language | en |
| publishDate | 2020 |
| publisher | Universidad Nacional Autónoma de México |
| spellingShingle | Disease surveillance in Indonesia through Twitter posts Mirna Adriani Ingeniería Indonesia clustering disease map classification Disease surveillance in Indonesia through Twitter posts Mirna Adriani Fatimah Azzahro Achmad Nizar Hidayanto Ingeniería Twitter Indonesia clustering disease map classification Social media data has become popular resources for various research topic such as public health. One of the popular research directions is to use social media data to detect if there is an epidemic disease emerging in a certain area. This paper presents a framework for mapping the emergence of disease in Indonesia using data from Twitter. The framework is built upon several methods which consist of classification using SVM, clustering using K-Means, and a named-entity recognizer to extract location names. Our research successfully identifies tweets indicating disease emergence and generates a relatively accurate map visualization. Thus, we believe that using Twitter may help Indonesia government officials to get an overview of the spread of disease in Indonesia in a relatively short time. 2020 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47471672007 https://www.redalyc.org/journal/474/47471672007/ https://www.redalyc.org/journal/474/47471672007/html/ https://www.redalyc.org/journal/474/47471672007/47471672007.epub https://www.redalyc.org/journal/474/47471672007/movil 10.14482/INDES.30.1.303.661 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.3 Vol.18 |
| title | Disease surveillance in Indonesia through Twitter posts |
| topic | Ingeniería Indonesia clustering disease map classification |
| url | https://www.redalyc.org/articulo.oa?id=47471672007 https://www.redalyc.org/journal/474/47471672007/ https://www.redalyc.org/journal/474/47471672007/html/ https://www.redalyc.org/journal/474/47471672007/47471672007.epub https://www.redalyc.org/journal/474/47471672007/movil |