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Medical Information Extraction Model for User-generated Content
INTRODUCTION: The number of social network users is on the rise, and the size of the user-generated contents is increasing as well. Analyzing the generated contents can lead to the attainment of a vast amount of information, such as users’ feelings on specific products or events, or personal informa...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Academy of Medical sciences
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6853723/ https://www.ncbi.nlm.nih.gov/pubmed/31762577 http://dx.doi.org/10.5455/aim.2019.27.192-198 |