Title :
Visual event mining from geo-tweet photos
Author :
Kaneko, Tetsuya ; Yanai, Katsuki
Author_Institution :
Dept. of Inf., Univ. of Electro-Commun., Chofu, Japan
Abstract :
In this paper, we propose a system to mine events visually from the Twitter stream by making use of “geo-tweet photos” which are tweets including both geotags and 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. In the experiments, we show some examples of detected events and their photos such as “rainbow”, “fireworks” and “Tokyo firefly festival”.
Keywords :
data mining; social networking (online); text analysis; Twitter stream; events detection; geo-tweet photos; geotagged tweets; textual analysis; textual information; tweet texts; visual event mining; visual information; Compounds; Equations; Event detection; Indexes; Twitter; Typhoons; Visualization; Event Mining; Geo-Photo Tweet; Geotagged Images; Twitter;
Conference_Titel :
Multimedia and Expo Workshops (ICMEW), 2013 IEEE International Conference on
Conference_Location :
San Jose, CA
DOI :
10.1109/ICMEW.2013.6618407