• Multi-label classification and knowledge extraction from oncology-related content on online social networks

    23 days ago - By Springer

    Abstract
    This study aims at automatic processing and knowledge extraction from large amounts of oncology-related content from online social networks. In this context, a large number of OSN textual posts concerning major cancer types are automatically scraped and structured using natural language processing techniques. Machines are trained to assign multiple labels to these posts based on the type of knowledge enclosed, if any. Trained machines are used to automatically classify large-scale textual posts. Statistical inferences are made based on these predictions to extract general concepts...
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