Microblogs data, e.g., tweets, reviews, news comments, and social media comments, has gained considerable attention in recent years due to its popularity and rich contents. Nowadays, microblogs applications span a wide spectrum of interests, including analyzing events and users activities and critical applications like discovering health issues and rescue services. Consequently, major research efforts are spent to manage, analyze, and visualize microblogs data to support different applications. In this tutorial, we give a 1.5 hours overview about microblogs data management, analysis, visualization, and systems. The tutorial gives a comprehensive review for research on core data management components to support microblogs queries at scale. This includes system-level issues and on-going work on supporting microblogs data through the rising wave of big data systems. In addition, the tutorial reviews research on microblogs data analysis and visualization. Through its different parts, the tutorial highlights the challenges and opportunities in microblogs data research.
|Original language||English (US)|
|Title of host publication||SIGMOD 2016 - Proceedings of the 2016 International Conference on Management of Data|
|Publisher||Association for Computing Machinery|
|Number of pages||4|
|State||Published - Jun 26 2016|
|Event||2016 ACM SIGMOD International Conference on Management of Data, SIGMOD 2016 - San Francisco, United States|
Duration: Jun 26 2016 → Jul 1 2016
|Name||Proceedings of the ACM SIGMOD International Conference on Management of Data|
|Other||2016 ACM SIGMOD International Conference on Management of Data, SIGMOD 2016|
|Period||6/26/16 → 7/1/16|
Bibliographical noteFunding Information:
This research is capitally supported by NSF grants IIS-0952977, IIS-1218168, IIS-1525953, CNS-1512877, and the University of Minnesota Doctoral Dissertation Fellowship.
© 2016 ACM.