Smart City's Context Awareness Using Social Media

被引:0
作者
Purnomo, Fredy [1 ]
Heryadi, Yaya [1 ]
Gaol, Ford Lumban [2 ]
Ricky, Michael Yoseph [1 ]
机构
[1] Bina Nusantara Univ, Sch Comp Sci, Jakarta, Indonesia
[2] Bina Nusantara Univ, Doctoral Comp Sci, Jakarta, Indonesia
来源
2016 INTERNATIONAL CONFERENCE ON ICT FOR SMART SOCIETY (ICISS) | 2016年
关键词
Smart city; text mining; context awareness; social media; SVM;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The increasing number of inhabitants of a city, there will be more challenges in the management of the city. Many events that can not be controlled by either causing the slow response of the relevant institutions. Sensing the smart city through social media is offered for such a solution. Text mining is done to analyze the social media posts based on events that occurred and the emotion that follows is based on text, hashtag and geo-tagging. Methodology used is text mining approach kernel methods, particularly the support vector machine (SVM). Results are expected with this concept is the city that can listen to the aspirations and desires of the population quickly and accurately.
引用
收藏
页码:119 / 123
页数:5
相关论文
共 8 条
  • [1] Alt B., 2015, ENG APPL ARTI FI CIA, V43, P54
  • [2] Banerjee S., 2013, WHAT AFFECTS ME
  • [3] Bie T. De, 2004, KERNEL METHODS EXPLO, P1
  • [4] Campbell C., 1999, INTRO KERNEL METHODS, P155
  • [5] Giffinger Rudolf., 2007, City-ranking of European medium-sized cities
  • [6] Guthier B., 2014, DETECTION VISUALIZAT
  • [7] Painho M., 2015, EMOTION STRESS MAPPI
  • [8] Priano F., 2014, Proceedings of the 15th Annual International Conference on Digital Government Research, Aguascalientes, Mexico, P44