共 4 条
- [1] Elasticsearch.org, 2014, OP SOURC DISTR REAL
- [2] Musto C., 2014, P 5 ITAL INF RETR WO
- [3] Roman J. V., 2011, HYBRID APPROACH COMB
- [4] Villena-Roman J., 2012, DAEDALUS REPLAB 2012
Opinion Mining in Social Networks using Semantic Analytics in the City of the Future
被引：0
作者：
Villena-Roman, Julio
[1
]
Luna-Cobos, Adrian
[1
]
Carlos Gonzalez-Cristobal, Jose
[2
]
机构：
[1] Daedalus SA, Av Albufera 321, Madrid 28031, Spain
[2] Univ Politecn Madrid, ETSI Telecomun, Madrid 28040, Spain
来源：
PROCESAMIENTO DEL LENGUAJE NATURAL
|
2014年
/
53期
关键词：
Semantic analytics;
social networks;
citizen;
opinion;
topics;
classification;
ontology;
events;
alerts;
big data;
city console;
D O I：
暂无
中图分类号：
H0 [语言学];
学科分类号：
030303 ;
0501 ;
050102 ;
摘要：
In this paper, a real-time analysis system to automatically record, analyze and visualize high level aggregated information of Twitter messages is described, designed to provide public administrations with a powerful tool to easily understand what the citizen behaviour trends are, their opinion about city services, their perception of the city, events of interest, etc. Moreover, it can used as a primary alert system to improve emergency services.
引用
收藏
页码：159 / 162
页数：4
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