Workshop
Workshop on Text Analytics for Social Data Using DiscoverText & Sifter
August 4, 2014
Tsinghua University, Beijing China
Attend this workshop to learn how to build custom machine classifiers for sifting social media data. All attendees will get an extended free trial of DiscoverText (60-days) with access to Facebook, Twitter, Tumblr, Disqus, WordPress and more. Bring your laptop and immediately tap into day-forward full fire hose social data streams. Join the live beta test of Sifter, a free tool for estimating the cost to license historical Twitter datasets. Learn how to construct social data fetch queries, search resulting archives, filter on metadata or other project attributes, count and set aside duplicates, cluster near-duplicates, crowd source the human coding (also called labeling or annotation), and build high quality word sense disambiguation engines for cleaning up messy social data streams. Use basic research measurement tools, developed over ten years of National Science Foundation funding, to improve human and machine performance over time. Learn to reach and substantiate inferences on a solid basic research model informed by 14 years of interdisciplinary scientific research into the text classification problem.
Dr. Stuart W. Shulman is founder & CEO of Texifter, and a Research Associate Professor of Political Science at the University of Massachusetts Amherst. He is founding Director of the Qualitative Data Analysis Program (QDAP) at the University of Pittsburgh and at UMass Amherst, and Associate Director of the National Center for Digital Government. Dr. Shulman is Editor Emeritus of the Journal of Information Technology & Politics, the official journal of Information Technology & Politics section of the American Political Science Association.
Contact: [email protected]
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The ASE International Symposium for Recent Advances in Big Data and Social Computing 2014
(BigSocialSym 2014)
Call for Papers
The current hot topics in research and industry out there are big data and social computing. Big data powers many companies today in areas of everyday life including finance, health, economy, science, education, commerce, sales, marketing, services and manufacturing. Without big data, companies would not be able to get the intelligence they need to understand their customers and their competitors. With social media such as Facebook and Twitter, and their Chinese equivalents like RenRen and Sina Weibo as well as social sharing applications such as WhatsApp and WeChat, how to make sense of these conversations is critical to many businesses. This Symposium addresses recent and cutting-edge research and advances in big data and social computing that help address these issues.
Symposium Chairs:
Alvin Chin, Microsoft, China
Mauro Conti, University of Padua, Italy
Mike Liang, Microsoft Research, China
Bin Guo, Northwestern Polytechnic University, China
Yong Ge, University of North Carolina at Charlotte, USA
Symposium Program Committee:
Martin Atzmueller, University of Kassel, Germany
James She, Hong Kong University of Science and Technology, Hong Kong
Arkaitz Zubiaga, Dublin Institute of Technology, Ireland
Baoliu Ye, Nanjing University, China
Peng Cui, Tsinghua University, China
Jill Freyne, CSIRO ICT, Australia
Nan Cao, IBM Thomas J. Watson Research Center, USA
Yuewen Liu, Xi’an Jiaotong University, China
Honghu Liu, University of California Los Angeles, USA
Jiayu Zhou, Samsung Research, USA
Junjie Wu, Beihang University, China
Wei Ding, University of Massachusetts at Boston, USA
Fei Wang, IBM T.J. Watson Research Center, USA
Wei Xu, Tsinghua University, China
Submission:
Submissions must be written in English, and must be at most 6 pages including the bibliography and well-marked appendices. Committee members are not required to read appendices, so the paper should be intelligible without them. Submissions must be in double-column format with page numbers. No changes to margins, spacing, or font sizes are allowed from those specified by the style file. We reserve the right to request the source files for a submission to verify compliance with this requirement. Only PDF files will be accepted.
All submissions must be anonymized. An author’s name should occur only in references to that author’s related work, which should be referenced in the third person and not overtly distinguishable from the referenced work of others. Submitted papers must not substantially overlap papers that have been published or that are simultaneously submitted to a journal, conference or workshop. Simultaneous submission of the same work is not allowed. Authors of accepted papers must guarantee that their papers will be presented at the conference.
Prepare your manuscripts with the following conference paper styles not more than 6 pages in PDF file. ( Paper Styles).
Each submission should be regarded as an undertaking that, should the paper be accepted, at least one of the authors must attend the conference to present the work in order for the paper to be included in the ACM Digital Library and ASE Digital Library.
Important Dates:
Submission Deadline: By invitation only
Author Notification: June 30th, 2014
Camera Ready: July 10th, 2014
Registration Deadline: July 16th, 2014
Conference Dates: Aug 4-7, 2014
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