DocumentCode :
3316647
Title :
[Demo paper] twitter visual event mining system
Author :
Kaneko, Tetsuya ; Harada, Hiroshi ; Yanai, Katsuki
Author_Institution :
Dept. of Inf., Univ. of Electro-Commun., Chofu, Japan
fYear :
2013
fDate :
15-19 July 2013
Firstpage :
1
Lastpage :
2
Abstract :
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”.
Keywords :
data mining; social networking (online); text analysis; Tokyo firefly festival; Twitter photos; Twitter stream; Twitter visual event mining system; blooming cherry blossom; event detection; geo-tweet photos; geotagged tweets; textual analysis; textual information; visual information; Conferences; Data mining; Google; Multimedia communication; Streaming media; Twitter; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo Workshops (ICMEW), 2013 IEEE International Conference on
Conference_Location :
San Jose, CA
Type :
conf
DOI :
10.1109/ICMEW.2013.6618224
Filename :
6618224
Link To Document :
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