Framework of a Collaborative Audio Analysis and Visualization tool for Data Journalists

被引：0
|
作者：
Sidiropoulos, Efstathios A. [1 ]
Konstantinidis, Evdokimos I. [2 ]
Veglis, Andreas A. [1 ]
机构：
[1] Aristotle Univ Thessaloniki, Sch Journalism & MC, Media Informat Lab, MCRS Grp, Thessaloniki, Greece
[2] Aristotle Univ Thessaloniki, Sch Med, Med Phys Lab, ASOSS Grp, Thessaloniki, Greece
来源：
2016 11TH INTERNATIONAL WORKSHOP ON SEMANTIC AND SOCIAL MEDIA ADAPTATION AND PERSONALIZATION (SMAP) | 2016年
关键词：
Data Journalism; Collaborative analysis and Visualization; Speech-to-Text; Semantics; Crowd-sourcing data; BIG DATA;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper describes the design and development of RecApp, a mobile application for visualization and collaborative analysis of journalistic data from audio collections. We try to identify the challenges to support a team of journalists in understanding and analyzing mobile audio data constructing semantic networks from text by collaborative visualization approach.
引用
收藏
页码：156 / 160
页数：5
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