Reading-Weibo: A Sina Weibo Oriented Data Mining System
Authors
Bin Liu, Jingyuan Zhang, Qiang Liu, Han Li, Mingliang Zhang, Rui Qiu, Jingyang Zhao
Corresponding Author
Bin Liu
Available Online March 2015.
- DOI
- 10.2991/iiicec-15.2015.155How to use a DOI?
- Keywords
- Sina Weibo; Social Network; Data Mining; Reading-Weibo
- Abstract
Sina Weibo, as the most popular Chinese microblogging social network, has huge amounts of information that reflects all aspects of our social life. For discovering the hidden patterns or rules, this paper presents a Sina Weibo oriented data mining system named as Reading-Weibo. The system can conduct an on-line, multi-dimensional (nine dimensions), interactive and dynamic analysis on the transmission of a single microblog. The workflow of Reading-Weibo and its sentiment analysis module, the regional distribution module and propagation tree module are introduced with examples. Finally, we put forward our views on the future work in microblog mining field.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Bin Liu AU - Jingyuan Zhang AU - Qiang Liu AU - Han Li AU - Mingliang Zhang AU - Rui Qiu AU - Jingyang Zhao PY - 2015/03 DA - 2015/03 TI - Reading-Weibo: A Sina Weibo Oriented Data Mining System BT - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference PB - Atlantis Press SP - 681 EP - 684 SN - 2352-538X UR - https://doi.org/10.2991/iiicec-15.2015.155 DO - 10.2991/iiicec-15.2015.155 ID - Liu2015/03 ER -