Abstract
This paper proposes a machine learning based approach to automatically create an initial set of domain-specific accounts by matching real-world authors of the latest domain-specific publications to corresponding social media accounts. An efficient approach based on social network analysis is further applied to extend the initial set by finding more domain-specific accounts of various types and filtering out irrelevant general or non-domain-specific accounts. Our experiments on Twitter are used to verify feasibility and effectiveness of the proposed methods.
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Wang, J., Xiang, J., Zhang, Y., Uchino, K. (2017). Mining Domain-Specific Accounts for Scientific Contents from Social Media. In: Xie, H., Popescu, E., Hancke, G., Fernández Manjón, B. (eds) Advances in Web-Based Learning – ICWL 2017. ICWL 2017. Lecture Notes in Computer Science(), vol 10473. Springer, Cham. https://doi.org/10.1007/978-3-319-66733-1_12
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DOI: https://doi.org/10.1007/978-3-319-66733-1_12
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