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.
CITATION STYLE
Wang, J., Xiang, J., Zhang, Y., & Uchino, K. (2017). Mining domain-specific accounts for scientific contents from social media. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10473 LNCS, pp. 111–118). Springer Verlag. https://doi.org/10.1007/978-3-319-66733-1_12
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