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    活動時間:2019-07-23 10:00:00

    報 報 告 人:Jian Yang, The director of research at Department of Computing, Macquarie University; Dean, School of Computer Science, Donghua University.



    邀 請 人:李衛民 副教授

    報告摘要: As one of the most popular social media, Twitter has attracted interests of business and academics to derive topics and apply the outcomes in a wide range of applications such as emergency management, business advertisements, and corporate/government communication. Since tweets are short messages, topic derivation from tweets becomes a big challenge in the area. Most of existing works use the Twitter content as the only source in the topic derivation. Recently, tweet interactions have been considered additionally for improving the quality of topic derivation. In this talk, we introduce a method that incorporates social interactions such as mention, retweet, etc into twitter content to derive topics. Experimental results show that the proposed method with the inclusion of temporal features results in a significant improvement in the quality of topic derivation comparing to existing baseline methods. In this talk, we will explain the general idea of Matrix Factorisation and how it is applied in topic derivation, the experiment set up, and experiment results analysis.


    Prof. Jian Yang received her PhD in the area of Data Integration from The Australian National University in 1995. Before she joined Macquarie University, she worked as an associate professor at Tilburg University, Netherlands (2000-2003), a senior research scientist at the Division of Mathematical and Information Science, CSIRO, Australia (1998-2000), and as a lecturer at Dept of Computer Science, The Australian Defence Force Academy, University of New South Wales (1993-1998). Prof Yang the member of steering committee of the primer international conference on service oriented computing (ICSOC). She has been general chair and PC chair of several international conferences such as ICSOC, BPM. She is elected as the treasurer and secretary of The Computing Research and Education Association of Australasia (CORE) in 2019. She has published over 200 articles in top venues such as IEEE transactions on Knowledge and Data Engineering, IEEE Transactions on Service Computing, ACM Transactions on Web, ACM Transactions on Management Information Systems, Information Systems, Data & Knowledge Engineering, WWW, CACM, VLDB, ICDE, ICDCS, CAiSE, CoopIS, CIKM, etc. Her research interests include: big data analytics, social networks, data integration, service computing, business process management.