Abstract
An Online Social Network (OSN) such as Facebook, Twitter, Google+,etc., socially connects users around the world. Through these social media platforms, users generally form a virtual network which is based on mutual trust without any personal interaction. As more and more users are joining OSNs, the topical expert identification is a literal necessity to ensure the relevance and credibility of content provided by various users. In this paper, we have reviewed the existing techniques for extraction of topical expertise in Twitter. We provide an overview of various attributes, dataset, and methods adopted for topical expertise detection and extraction.
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Kaur, K., Bansal, D. (2019). Techniques to Extract Topical Experts in Twitter: A Survey. In: Satapathy, S., Joshi, A. (eds) Information and Communication Technology for Intelligent Systems . Smart Innovation, Systems and Technologies, vol 106. Springer, Singapore. https://doi.org/10.1007/978-981-13-1742-2_38
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DOI: https://doi.org/10.1007/978-981-13-1742-2_38
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