[DEMO PAPER] TWITTER VISUAL EVENT MINING SYSTEM

被引:0
|
作者
Kaneko, Takamu [1 ]
Harada, Hiroyoshi [1 ]
Yanai, Keiji [1 ]
机构
[1] Univ Electrocommun, Dept Informat, Chofu, Tokyo 1828585, Japan
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中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In this demo, we demonstrate a system to mine events visually from the Twitter stream by making use of "geo-tweet photos". Some works on event mining which utilize geotagged tweets have been proposed so far. However, they used no images but only textual analysis of tweet texts. In this work, we detect events using visual information as well as textual information, which is the first work to mine event photos automatically from a huge number of Twitter photos, as long as we know. In the experiments, we show some examples of detected events and their photos such as "blooming cherry blossom" and "Tokyo firefly festival". [GRAPHICS] .
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